Robot solution for automating the lettuce harvest
Lettuce is a valuable crop in Europe and the USA. But labor shortages make it difficult to harvest this valuable field vegetable, as sourcing sufficient seasonal labor to meet harvesting commitments is one of the sector’s biggest challenges. Moreover, with wage inflation rising faster than producer prices, margins are very tight. In England, agricultural technology and machinery experts are working with IDS Imaging Development Systems GmbH (Obersulm, Germany) to develop a robotic solution to automate lettuce harvesting.
The team is working on a project funded by Innovate UK and includes experts from the Grimme agricultural machinery factory, the Agri-EPI Centre (Edinburgh UK), Harper Adams University (Newport UK), the Centre for Machine Vision at the University of the West of England (Bristol) and two of the UK’s largest salad producers, G’s Fresh and PDM Produce.
Within the project, existing leek harvesting machinery is adapted to lift the lettuce clear from the ground and grip it in between pinch belts. The lettuce’s outer, or ‘wrapper’, leaves will be mechanically removed to expose the stem. Machine vision and artificial intelligence are then used to identify a precise cut point on the stem to to neatly separate the head of lettuce.
“The cutting process of an iceberg is the most technically complicated step in the process to automate, according to teammates from G subsidiary Salad Harvesting Services Ltd.”, explains IDS Product Sales Specialist Rob Webb. “The prototype harvesting robot being built incorporates a GigE Vision camera from the uEye FA family. It is considered to be particularly robust and is therefore ideally suited to demanding environments. “As this is an outdoor application, a housing with IP65/67 protection is required here”, Rob Webb points out.
The choice fell on the GV-5280FA-C-HQ model with the compact 2/3″ global shutter CMOS sensor IMX264 from Sony. “The sensor was chosen mainly because of its versatility. We don’t need full resolution for AI processing, so sensitivity can be increased by binning. The larger sensor format means that wide-angle optics are not needed either”, Rob Webb summarized the requirements. In the application, the CMOS sensor convinces with excellent image quality, light sensitivity and exceptionally high dynamic range and delivers almost noise-free, very high-contrast 5 MP images in 5:4 format at 22 fps – even in applications with fluctuating light conditions. The extensive range of accessories, such as lens tubes and trailing cables, is just as tough as the camera housing and the screwable connectors (8-pin M12 connector with X-coding and 8-pin Binder connector). Another advantage: camera-internal functions such as pixel pre-processing, LUT or gamma reduce the required computer power to a minimum.
The prototype of the robotic mower will be used for field trials in England towards the end of the 2021 season.
“We are delighted to be involved in the project and look forward to seeing the results. We are convinced of its potential to automate and increase the efficiency of the lettuce harvest, not only in terms of compensating for the lack of seasonal workers”, affirms Jan Hartmann, Managing Director of IDS Imaging Development Systems GmbH.
The challenges facing the agricultural sector are indeed complex. According to a forecast by the United Nations Food and Agriculture Organization (FAO), agricultural productivity will have to increase by almost 50 percent by 2050 compared to 2012 due to the dramatic increase in population. Such a yield expectation means an enormous challenge for the agricultural industry, which is still in its infancy in terms of digitalization compared to other sectors and is already under high pressure to innovate in view of climatic changes and labor shortages. The agriculture of the future is based on networked devices and automation. Cameras are an important building block, and artificial intelligence is a central technology here. Smart applications such as harvesting robots can make a significant contribution to this.
Updates Include Imprint® Smart Mapping for Roomba i3 Series, Siri Commands, Clothing & Towel Detection for Roomba j7 Series
BEDFORD, Mass., March 17, 2022 /PRNewswire/ — iRobot Corp. (NASDAQ: IRBT), a leader in consumer robots, today announced that it has started rolling out its iRobot Genius 4.0 Home Intelligence software update to Wi-Fi connected Roomba® robot vacuum and Braava jet® robot mop customers. The company is on a mission to design superior cleaning experiences that go beyond just smart. iRobot Genius 4.0 is the next step in transforming the smart home into a thoughtful home.
iRobot Genius 4.0 includes updates that provide powerful new functionality, like Imprint® Smart Mapping for Roomba i3 and i3+ customers, as well as customization and convenience features like Room-Specific Cleaning Preferences, Siri Shortcut Integration, Child & Pet Lock, and Do Not Disturb. The update also expands the list of objects the Roomba j Series can recognize and avoid to include clothing and towels.
The company also announced that the Roomba i3 and i3+ will be sold as the Roomba i3 EVO and Roomba i3+ EVO robot vacuums in the Americas moving forward. These Roomba i3 models automatically include the Imprint Smart Mapping update and are being sold at a new, lower retail price, starting at $349 USD for the Roomba i3 EVO and $549 USD for the Roomba i3+ EVO.
“The beauty of iRobot Genius is that our robots get smarter over time and continuously provide customers with new ways to clean where, when and how they want,” said Keith Hartsfield, chief product officer at iRobot. “As iRobot develops new features and experiences, the updates are pushed out to customers’ robots at no cost. From the day a customer welcomes a Roomba robot vacuum or Braava jet robot mop into their home, they know that they’ll always benefit from new features and functionality. They are also getting a robot that works harder for them, so they don’t have to. With more than 60 million personalized recommendations provided to customers to date, our robots are proven to learn, respect and work around individual schedules and needs.”
The iRobot Genius 4.0 update delivers these thoughtful mapping, voice and app features across iRobot’s Wi-Fi connected robot lineup:
- Tell Roomba i3 and i3+ to Clean the Rooms You Want: With double the intelligence provided by Imprint Smart Mapping, customers can now create customizable Smart Maps for their Roomba i3 and i3+ robot vacuums, enabling them to send their robot to clean specific rooms1 via the iRobot Home app or through their preferred voice assistant. They can also now receive estimated cleaning times and create cleaning routines based on their preferred schedules, rooms and automations. This update is available to Roomba i3 and i3+ customers in the Americas and APAC now and is expected to be available in EMEA by the end of Q3 2022.
- Clean Each Room the Way You Want: Everyone’s home is unique, with individual rooms varying in size, flooring, furniture and traffic level. That’s why users who own Imprint Smart Mapping-capable robots2 will have more control of how their robot cleans with Room-Specific Cleaning Preferences. Need your Roomba to take an extra pass in the entryway where shoes are kept but quickly clean other rooms? No problem. Looking for your Braava jet m6 to dispense more cleaning solution when tackling the kitchen, but not in the hallway? You’ll be able to do that too.
- Use Siri to Clean – Everywhere: With approximately 600 supported Alexa® and Google Assistant® commands, robots that can be scheduled to clean specific rooms with your voice, and the only robots that can be told to clean specific areas like around the kitchen counter, iRobot is expanding its market-leading voice capabilities to include Siri. After all, you should have choices when it comes to verbally communicating with your robot, and with Siri Shortcut Integration, you’ll get just that. Like existing Alexa ® or Google Assistant ® shortcuts in the iRobot Home App, owners of Wi-Fi connected Roomba robot vacuums and Braava jet robot mops who use an iOS device will have the option to connect their robot to Siri in the iRobot Home App. Want to vacuum your whole home? Set up your own custom phrase, and just say “Hey Siri, ask Roomba to clean everywhere.”
- No More Accidental Starts: Has Fido ever accidentally started your robot? Or maybe a curious child unintentionally found the robot’s “Clean” button? Problem solved with Child & Pet Lock via the iRobot Home App, an option that temporarily disables the physical “Clean” button on Wi-Fi connected Roomba and Braava jet robots.3 Once activated, the robots can only be controlled through the iRobot Home App, eliminating the need to quickly end an accidental start.
- Never Be Distracted or Woken Up: Introducing iRobot’s NAP Commitment (Never Awake People or Pets). With the Do Not Disturb feature, customers can use the iRobot Home App to define windows of time in which the robot should not run, whether that be when someone is asleep or in a meeting. Do Not Disturb provides peace of mind that your robot will respect life’s quiet times. This feature has been rolled out to existing customers globally.
- Less Clean-Up Before You Clean Up: Having already avoided 3 million objects in people’s homes since being introduced last year, the Roomba j7 and j7+ will also be able to detect and avoid clothing and towels left on the floor, letting customers feel confident the job will get done without needing to pick them up beforehand. These objects expand the visual vocabulary of the Roomba j7 and j7+, which already recognizes and avoids shoes, socks, cords, headphones, and pet waste. iRobot will continue enabling the Roomba j7 Series to identify and avoid even more objects that might prevent mission completion over time.
All iRobot Genius 4.0 software updates will be rolling out globally to Wi-Fi connected Roomba and Braava jet customers through the end of June 2022 with the exception of Do Not Disturb, which is now available globally, and Imprint Smart Mapping for Roomba i3 and i3+, which is now available for customers in the Americas and APAC regions – and expected to be available for customers in EMEA by the end of Q3 2022.
The Roomba i3+ EVO robot vacuum with Clean Base® Automatic Dirt Disposal is available for purchase immediately in the U.S. and Canada starting at $549 USD on www.irobot.com and at select retailers. The Roomba i3 EVO robot vacuum can also be purchased without the Clean Base starting at $349 on www.irobot.com and at select retailers.
For more information or questions on robot software updates, please visit: https://homesupport.irobot.com/s/article/550.
VEXcode EXP is now available in a web-based version for Chrome browsers. The web-based version can be reached by navigating to codeexp.vex.com and contains all of the features and functionality of VEXcode EXP, but without the need to download or install anything! The new web-based version of VEXcode makes it easier for teachers and students to access projects from anywhere, at any time, on any device – including Chromebooks!
In addition to the built-in Help and Tutorials, the STEM Library contains additional resources and support for using web-based VEXcode EXP. Within the STEM Library you can find device-specific articles for connecting to web-based VEXcode EXP, loading and saving projects, updating firmware, and more. View the VEXcode EXP section of the STEM Library to learn more.
Web-based versions of VEXcode IQ and VEXcode V5 are in the works and will be available soon.
Mit dem weltweit ersten Cobot-Kunststoffgetriebe und einem digitalen Ökosystem beschleunigt igus die Low-Cost-Automatisierung – heute schon 20 Projekte pro Woche
Köln, 16. März 2022 – igus liefert ab jetzt den Serviceroboter ReBeL aus – auch als smarte Version. Zu einem Preis von 4.970 Euro für die Plug-and-Play-Variante und mit einem Gewicht von nur rund 8 Kilogramm erhalten Kunden einen der leichtesten Cobots auf dem Markt. Digitale Services wie der RBTXpert und neue Online-Angebote ermöglichen den Kunden komplette Automatisierungslösungen in wenigen Tagen und für wenig Geld.
|Der ReBeL der Automatisierung: Smarter igus Cobot für 4.970 Euro Mit dem weltweit ersten Cobot-Kunststoffgetriebe und einem digitalen Ökosystem beschleunigt igus die Low-Cost-Automatisierung – heute schon 20 Projekte pro Woche Köln, 16. März 2022 – igus liefert ab jetzt den Serviceroboter ReBeL aus – auch als smarte Version. Zu einem Preis von 4.970 Euro für die Plug-and-Play-Variante und mit einem Gewicht von nur rund 8 Kilogramm erhalten Kunden einen der leichtesten Cobots auf dem Markt. Digitale Services wie der RBTXpert und neue Online-Angebote ermöglichen den Kunden komplette Automatisierungslösungen in wenigen Tagen und für wenig Geld. |
Beim ReBeL setzt igus ganz auf seine motion plastics Expertise: Der Einsatz von Kunststoff macht den Roboter mit 8,2 Kilogramm Eigengewicht zum leichtesten Serviceroboter mit Cobot-Funktion in seiner Klasse. Alle mechanischen Bauteile, aus denen sich der ReBeL zusammensetzt, sind ausnahmslos von igus entwickelt und gefertigt. Seine Traglast beträgt 2 Kilogramm und er besitzt eine Reichweite von 664 Millimetern. Die Wiederholgenauigkeit liegt bei +/- 1 Millimeter bei 7 Picks pro Minute. Das Herzstück ist das weltweit erste industrietaugliche Cobot-Getriebe aus Kunststoff. „Hinter diesen Zahlen stecken 1.041 Tests im hauseigenen Labor seit 2019, bei denen wir tribologische und thermodynamische Tests zu 15 Materialpaarungen und Toleranzketten durchgeführt haben. Eine besonders große Herausforderung war die Wärmeentwicklung in den vollintegrierten Wellgetrieben; sie werden durch den Motor thermisch beeinflusst. In der Entwicklung haben wir uns daher zusätzlich auf größere Motoren und einen besseren Wirkungsgrad konzentriert, um die Wärmeentwicklung deutlich zu verringern“, sagt Alexander Mühlens, Leiter des Geschäftsbereichs Low-Cost-Automation bei igus. „Dadurch konnten wir kontinuierlich Verbesserungen erzielen und am Ende die Zyklenzahl auf zwei Millionen sogar verfünffachen. Das entspricht einer üblichen Lebensdauer von zwei Jahren.”
Smart Plastics – Volle Transparenz im Betrieb für präventive Wartung
igus hat sein motion plastics Knowhow auch in die Leistungselektronik eingebracht und erstmalig einen Encoder mit Hilfe von Leitplastikbahnen entwickelt. So lassen sich Dreh- und Zyklenzahl, Durchläufe, Temperatur und Strom exakt messen. Dank einer Cloudanbindung mit Webcam stellt ein Dashboard alle generierten Daten übersichtlich live dar. Der Kunde erhält so die volle Transparenz über seinen ReBeL im Betrieb, über Kennzahlen wie Verschleiß, Taktzeit und Stückzahlen.
Günstige Komplettlösung, schnell integriert
Erhältlich ist der smarte ReBeL in zwei Varianten: einmal als Open Source Version ohne Robotersteuerung, Netzteil und Software für 3.900 Euro bei Stückzahl 1 oder als Plug-and-Play-Variante mit Roboter, Steuerungssoftware und Netzteil für 4.970 Euro bei Stückzahl 1. Gemäß dem igus Ansatz „Build or Buy“ stehen Kunden neben dem Komplettsystem auch die einzelnen ReBeL Wellgetriebe zur Verfügung, in den Durchmessern 80 und 105 Millimeter. Das Drehmoment beträgt 3 Nm (80) beziehungsweise 25 Nm (105) bei 6 RPM, mit einer Übersetzung von 50:1. Der ReBeL ist auf dem Online-Marktplatz RBTX erhältlich. Hier finden Anwender Einzelkomponenten, Integrationsunterstützung sowie Hard- und Software von inzwischen mehr als 40 Partnern – im Wissen, dass alles zu 100 Prozent miteinander kompatibel ist; darunter verschiedenste Roboterkinematiken, Kameras, Software, Gripper, Power Electronics, Motoren, Sensoren und Steuerungen. Für die Integration per Online-Beratung mit Festpreisgarantie steht für Kunden der RBTXpert bereit: Auf einer 400 Quadratmeter großen Customer Testing Area beraten Experten täglich Kunden per Live-Video und schicken innerhalb von Stunden Lösungsangebote. Typische Hardwarekosten ohne Integration starten bei 8.500 Euro und Komplettlösungen ab 12.500 Euro. „Wir spüren, dass wir Automatisierung noch zugänglicher machen, da wir mit unserem Service RBTXpert allein in Deutschland mehr als 20 Kundenprojekte pro Woche beraten. Deshalb erweitern wir bis Ende März den Service um zehn weitere Online-Berater. International ist das Angebot bereits in sieben Ländern verfügbar, weitere 14 sind in Vorbereitung”, so Alexander Mühlens. „Aus diesen positiven Erfahrungen, den vielen umgesetzten Projekten und den zahlreichen Kundengesprächen heraus entwickelt sich zurzeit ein spannendes Ökosystem an weiteren Services.”
Universum für die Low-Cost-Automation
In diesem Low-Cost-Automation-Universum dreht sich alles um die individuelle Kundenanwendung. Ziel ist es, mit neuen Angeboten und Businessmodellen die Integration weiter zu vereinfachen. „Wir werden einen App Store zur Verfügung stellen, in dem Anbieter von Low-Cost-Automation und freie Softwareentwickler ihre Software-Ideen einbringen können. Indem sie bestehende Software nutzen, können Anwender ihre Automatisierung noch schneller realisieren. So ist die Anbindung der Roboter an digitale Services wie IFTTT oder smarte Assistenten wie Alexa oder Siri möglich. Der Besucher kann dann beispielsweise in einer Kaffeebar per Sprache seinen Lieblingskaffee ordern und der Roboter schenkt ihn dann aus. Daraus ergeben sich ganz neue Business-Modelle wie Pay-per-Pick, bei dem Nutzer nicht für den Roboter, sondern nur für seine Aufgabe zahlen. Diese neuen Möglichkeiten werden den Robotikmarkt ebenso wie den Alltag nachhaltig verändern“, sagt Mühlens. „Ihnen wollen wir mit dem Low-Cost-Automation-Universum ein Zuhause geben.“
New study shows methods robots can use to self-assess their own performance
CAMBRIDGE, MASS. (PRWEB) MARCH 08, 2022
Establishing human-robot trust isn’t always easy. Beyond the fear of automation going rogue, robots simply don’t communicate how they are doing. When this happens, establishing a basis for humans to trust robots can be difficult.
Now, research is shedding light on how autonomous systems can foster human confidence in robots. Largely, the research suggests that humans have an easier time trusting a robot that offers some kind of self-assessment as it goes about its tasks, according to Aastha Acharya, a Draper Scholar and Ph.D. candidate at the University of Colorado Boulder.
Acharya said we need to start considering what communications are useful, particularly if we want to have humans trust and rely on their automated co-workers. “We can take cues from any effective workplace relationship, where the key to establishing trust is understanding co-workers’ capabilities and limitations,” she said. A gap in understanding can lead to improper tasking of the robot, and subsequent misuse, abuse or disuse of its autonomy.
To understand the problem, Acharya joined researchers from Draper and the University of Colorado Boulder to study how autonomous robots that use learned probabilistic world models can compute and express self-assessed competencies in the form of machine self-confidence. Probabilistic world models take into account the impact of uncertainties in events or actions in predicting the potential occurrence of future outcomes.
In the study, the world models were designed to enable the robots to forecast their behavior and report their own perspective about their tasking prior to task execution. With this information, a human can better judge whether a robot is sufficiently capable of completing a task, and adjust expectations to suit the situation.
To demonstrate their method, researchers developed and tested a probabilistic world model on a simulated intelligence, surveillance and reconnaissance mission for an autonomous uncrewed aerial vehicle (UAV). The UAV flew over a field populated by a radio tower, an airstrip and mountains. The mission was designed to collect data from the tower while avoiding detection by an adversary. The UAV was asked to consider factors such as detections, collections, battery life and environmental conditions to understand its task competency.
Findings were reported in the article “Generalizing Competency Self-Assessment for Autonomous Vehicles Using Deep Reinforcement Learning,” where the team addressed several important questions. How do we encourage appropriate human trust in an autonomous system? How do we know that self-assessed capabilities of the autonomous system are accurate?
Human-machine collaboration lies at the core of a wide spectrum of algorithmic strategies for generating soft assurances, which are collectively aimed at trust management, according to the paper. “Humans must be able to establish a basis for correctly using and relying on robotic autonomy for success,” the authors said. The team behind the paper includes Acharya’s advisors Rebecca Russell, Ph.D., from Draper and Nisar Ahmed, Ph.D., from the University of Colorado Boulder.
The research into autonomous self-assessment is based upon work supported by DARPA’s Competency-Aware Machine Learning (CAML) program.
In addition, funds for this study were provided by the Draper Scholar Program. The program gives graduate students the opportunity to conduct their thesis research under the supervision of both a faculty adviser and a member of Draper’s technical staff, in an area of mutual interest. Draper Scholars’ graduate degree tuition and stipends are funded by Draper.
Since 1973, the Draper Scholar Program, formerly known as the Draper Fellow Program, has supported more than 1,000 graduate students pursuing advanced degrees in engineering and the sciences. Draper Scholars are from both civilian and military backgrounds, and Draper Scholar alumni excel worldwide in the technical, corporate, government, academic, and entrepreneurship sectors.
At Draper, we believe exciting things happen when new capabilities are imagined and created. Whether formulating a concept and developing each component to achieve a field-ready prototype, or combining existing technologies in new ways, Draper engineers apply multidisciplinary approaches that deliver new capabilities to customers. As a nonprofit engineering innovation company, Draper focuses on the design, development and deployment of advanced technological solutions for the world’s most challenging and important problems. We provide engineering solutions directly to government, industry and academia; work on teams as prime contractor or subcontractor; and participate as a collaborator in consortia. We provide unbiased assessments of technology or systems designed or recommended by other organizations—custom designed, as well as commercial-off-the-shelf. Visit Draper at http://www.draper.com.
Macroact, the personal robotics development lab operating out of South Korea, has released their first AI based companion pet. Designed for education and entertainment, Maicat is now live on Kickstarter after years of design and testing.
CAPABLE – Ready to use directly from the box, Maicat is an autonomous robot pet. Using its sensors, Maicat is capable of detecting obstacles and walking around the house on its own. With its laser range finder and gyroscope, it is able to adjust for thick carpets and door frames.
CARING – Maicat has facial, voice pattern and emotional recognition software. When paired with the AI learning algorithm, Maicat is able to identify its owners and react to their moods.
CONNECTED – Integrated IoT connectivity allows you to add Maicat’s sensors and capabilities to your existing home network. The Maicat SDK will allow the creation of apps which will let Maicat talk to most modern IoT devices.
CREATIVE – Maicat is an excellent platform to get students interested in STEM topics. With an app and the Maicat SDK, students can study AI, programming, robotics, facial recognition…the list goes on and on.
CELEBRATED – Maicat was a CES 2022 Innovation Award nominee for its IoT integration and support. That’s more than you can say for most other pets.
CUDDLY – Maicat is small and light enough to pick up and pet. Sensors within its body let Maicat know it’s being petted and Maicat will respond lovingly.
To learn more about the Maicat project checkout the promotional link below.
About Macroact Inc.
Macroact is an AI and robotics startup that develops machine learning solutions for adaptive robots. The company focuses on the implementation of artificial intelligence solutions throughout the whole robot development process to reduce time and costs of the robot development and enhance the learning ability of robots. Their core technology is Maidynamics, an autonomous robot control solution. Maicat is their first adaptive robot.
Dear Robothon® Community!
munich_i will take place again at the next automatica from June 21-24, 2022 in Munich, therefore
Robothon®, the international competition to develop skills in robot manipulations, will also go into the second round!!
Robothon® – The Grand Challenge Series focuses on pressing and unsolved challenges of our time and was 2021 held digitally in the run-up to the automatica sprint
with 9 international teams and a renowned Grand Challenge Jury. As a highlight, it ended with the Award Ceremony on June 22, 2021
with 4 winning teams, a total prize money of € 22,500, great recognition and an expansion of our community.
Are you a motivated robotics enthusiast looking for new challenges?
CALL FOR TEAMS is open until March 31, 2022!!
- Robothon® will once again will be held digitally from April 29 to June 1, 2022
- Special highlight: the Award Ceremony will take place on-site on June 21, 2022, during automatica at the Messe München!
HOW IT WORKS:
- Robothon® againwill focus on single-arm robot manipulation
- The Grand Challenge 2022: disassembly and sorting of e-waste
- The competition is free of charge
- Up to 20 selected teams can participate (2-4 members)
- All roboticists (academic and young professionals) are encouraged to apply
- Teams will need to provide their own robot to complete the challenge remotely
- Each team will receive an internet connected competition task board by mail
- The processing period of 1 month starts from receipt of the competition scorecard
- Team performances will be evaluated by the Grand Challenge Jury
- Prize money awaits the finalists!
Know someone who should participate? Please help spread the word!
Feel free to email us with any questions at [email protected].
With kind regards,
The Robothon® Team
Barbara Schilling & Peter So (Technical Leader)
Robotics experts obode, just announced the launch of a next-generation smart robot vacuum/mop for automated floor cleaning for the entire home. Featuring voice control, customizable app, and LDS intelligent navigation, this innovative new cleaning robot adds powerful cleaning and modern convenience to any home. The obode P8 is available now: https://www.kickstarter.com/projects/obodep8/obode-p8-2-in-1-smart-self-cleaning-cleaner
obode P8 is the ultimate all in one floor cleaning solution with 3 modes for sweeping, vacuuming, mopping, and combination cleaning. Equipped with double-spin mops and a heavy duty vacuum motor with 2000pa of suction power, the system easily picks up debris and hair from both hard floors and carpets. P8 uses an advanced ultrasonic sensor to determine surface types and apply the proper cleaning, sweeping or mopping as needed. It moves seamlessly across the room, and intelligently switches between sweeping and mopping for safe, effective cleaning of any floor types.
“Many people have made the move to robotic vacuum cleaners for home convenience. However, over the past few years, technologies such as robotic navigation and surface sensors have greatly advanced. For P8, we applied these next-gen technologies to create the ultimate robot vacuum cleaner with mopping functions. The result is the most advanced multi-surface floor cleaning device with superior mapping, intelligent surface identification and multi-mode cleaning for all household floors. P8 intelligently cleans and features programmable functions that takes the hassle out of household chores. It efficiently and thoroughly keeps your floors clean so that you don’t have to. It’s the perfect addition to the modern home.” Founder, obode
P8 uses the latest in advanced LDS navigation and multi-layer mapping with an intelligent algorithm to avoid obstacles and barriers as it determines the most efficient and effective cleaning route through the home. With a 6200mAh battery built-in, P8 is capable of up to 2.5 hours of continuous cleaning, enough to do the entire house, before it automatically returns to base for recharging. For superior cleaning, P8 has a backwashing mopping cloth to prevent secondary smudging and automatically returns to the base to clean and hot dry the mop to disinfect it after each cleaning session.
Convenient control of the P8 is achieved with voice commands via Alexa or Google Home and the system has an intelligent app for scheduling, customized cleaning, setting no-go zones, and ‘Do-not-disturb’ modes. The app updates automatically OTA and provides total control at the touch of a button.
The obode P8 combines the latest intelligent cleaning features with next-generation robotic tech for the modern home. P8 is available now for pre-sale with special deals and pricing for early adopters: https://www.kickstarter.com/projects/obodep8/obode-p8-2-in-1-smart-self-cleaning-cleaner
Creality has lifted the veil over its latest 3D scanner. In an effort to further diversify its 3D cosmos, Creality, the well-known manufacturer of 3D printing-community-favorites such as the Ender 3, has announced its new and improved 3D scanner: the CR-Scan Lizard.
This entry-level 3D scanner for consumers follows the company’s CR-Scan 01 — which was released a fairly short time ago as an affordable option for users to digitalize objects. The new Lizard is smaller in size for better portability and feel but promises improved features such as accuracy up to 0.05 mm, and better handling of bright environments and dark objects. All that for less money than its predecessor, even.
With the Lizard, you can scan small or large objects with ease. The CR Studio software does the heavy lifting of optimizing models and even sends those files via the Creality Cloud directly to your 3D printer. The applications seem almost endless.
With some early bird specials, the CR-Scan Lizard has made a debut on Kickstarter on February 2022, and, unsurprisingly, smashed its campaign goal in next to no time.
We have gathered all the information revealed so far about this new consumer-grade 3D scanner to give you an overview of what the Lizard has in store. Creality has also already sent us a scanner to try for ourselves, so keep an eye out for our upcoming hands-on experience.
With the CR-Scan Lizard, Creality wants to bring professional-grade accuracy to the budget market. According to its spec sheet, the scanner has an accuracy of up to 0.05 mm allowing it to capture small parts and intricate details with high precision. Thanks to the scanner’s binoculars and improved precision calibration, Creality says it can pick up rich detail from objects as small as 15 x 15 x 15 mm, or as large as objects like car doors, engines, rear bumpers, and so on.
The CR-Scan Lizard comes with three different scanning modes. You can either use it in turntable mode, handheld mode, or a mixture of the two to scan an object.
Turntable mode is suitable for 15 – 300 mm objects and will scan automatically. You can use the combination mode for larger objects up to 500 mm, where you put the object on the rotary table but hold the scanner in hand to scan. Lastly, its handheld mode is suitable for scanning large objects up to 2 meters in size, such as the car parts mentioned above.
Plus, thanks to its visual tracking, the Lizard doesn’t need markers to work. You can scan objects without having to pin a bunch of stickers to them first — its software’s tracking algorithm will take care of that for you.
LIGHT OR DARK
Besides its scan modes, the Lizard also offers some improved scanning functions that should make it easier for users to achieve good results with minimal effort.
For one, Creality states the Lizard can scan accurately in sunlight. 3D scanners typically struggle with too much direct light, forcing users to scan in a darkened room for best results. However, Creality claims the Lizard, thanks to its multi-spectral optical technology, maintains excellent performance even in bright sunlight — which would vastly improve its field of application. The scanner can also be powered by a portable charger, so, in theory, you could go out there and scan the woods to your heart desire.
What’s more, the CR-Scan Lizard promises better material adaptability when scanning black and dark objects. Sounds like it’s got it all.
Creality has stated that it is planning to release a fully automated color mapping texture suite in March 2022 that promises true color fidelity for your scanned objects, but its currently still in development. Once released, you can make use of the mapping process, where high-definition color pictures of the model taken with a phone or DSLR camera can automatically be mapped onto the 3D model, allowing you to create high-quality, vivid color scans.
The Lizard’s accompanying software, CR Studio, promises many features that should help to achieve clean scans. For example, the software features on-click model optimization and multi-positional auto alignment, auto noise removal, topology simplified, texture mapping, and much more.
You can also upload and share models via the Creality Cloud, allowing you to slice your scanned objects and even send them to a 3D printer — all with the click of a button.
Release Date & Availability
Creality has set up a limited pre-order via Kickstarter. The scanner is available for backing since February 10, 2022, alongside some early bird batch sales. According to the Kickstarter campaign, shipping will take place in April.
Over the past days and weeks, Creality has already released a couple of videos on its YouTube channel showing off the scanner’s features in greater detail. Be sure to check those out if the Lizard tickles your fancy.
Creality has also already sent All3DP a CR-Scan Lizard to try out, so we are looking forward to giving it a spin in the next few days. Stay tuned for a full review of our hands-on experience.
At the time of writing, the CR-Scan Lizard is available via Kickstarter with super early bird pledges, priced from $300 for the most basic Lizard package and reaching $400 for the luxury version that already comes with a color kit.
According to the campaign, the off-the-shelf price for the Lizard will be $599 for its base version. So, there are potentially some bucks to be saved if you get in early. However, it wouldn’t be the first time that prices given changed eventually.
Here are the technical specifications for the Creality CR-Scan Lizard 3D scanner:
- Precision: 0.05 mm
- Resolution ratio: 0.1 – 0.2 mm
- Single capture range: 200 x 100 mm
- Operating Distance: 150 – 400 mm
- Scanning Speed: 10 fps
- Tracking mode: Visual tracking
- Light: LED+NIR (Near-infrared mode)
- Splicing Mode: Fully automatic geometry and visual tracking (without marker)
- Output Format: STL, OBJ, PLY
- Compatible System: Win 10 64bit (MacOS to be released in March 2022)
- Machine Size: 155 x 84 x 46 mm
- Machine Weight: 370 g