The entire teachings of the above applications are incorporated herein by reference.
Traditionally, quick service food restaurants (fast food) employs humans assembling ingredients from pre-prepared bins or containers into a meal. Robots have not yet been able to assemble meals from prepared ingredients as a whole.
In embodiments, the below disclosure solves problems in relation to employing a food-safe tool changer in the quick service fast food restaurant environment. This device must enable a robot to detach and attach a variety of different tools for use in assembling and processing ingredients to prepare recipes. In order to effectively use a tool, the robot must have a rigid and geometrically deterministic interface between the tool and the robot. If the tool is not located where the programmer intended it to be, the robot will use the tool incorrectly when attempting to accomplish a task. The tool may collide with other objects in the workspace, as collision detection is performed using a geometric model of the robot and the tool, requiring an accurate attachment between the tool and the robot.
In an embodiment, a system includes an actuating rod, at least one ball bearing, and a housing having a first port to receive the actuating rod, and having a second port within the first port to receive the at least one ball bearing. The first port and second port of the housing are configured to allow motion of the actuating rod in a direction through the first port perpendicular to the at least one ball bearing in the second port. A distal end of the second port further has a hole with a constriction on the outer circumference of the housing. The constriction is configured to allow a portion of the ball bearing to extend out of the second port while holding the remaining portion of the ball bearing within the second port. The system further includes a utensil mating bracket having a reception port configured to receive the housing. The reception port having at least one locking member along an outer portion of the reception port, such that when the portion of the at least one ball bearing extends out of the second port, the locking member interfaces with the portion of the at least one ball bearing such that the housing is locked within the utensil mating bracket.
In an embodiment, the system further includes a compression spring within the housing. The compression spring is coupled with the actuating rod.
In an embodiment, the actuating rod is configured to extend through the housing such that it forces the at least one ball bearing through the second port such that the portion of the ball bearing extends out of the second port.
In an embodiment, the first port and second port have consistent diameters throughout lengths of the respective first and second ports.
In an embodiment, the at least one ball bearing is at least two ball bearings. The housing includes a third port within the first port to receive a second of the at least two ball bearings. The third port of the housing is configured to allow motion of the second ball bearing perpendicular to the motion of the actuating rod in the first port. A distal end of the third port further has hole with a constriction on the outer circumference of the housing. The constriction is configured to allow a portion of the second ball bearing to extend out of the third port while holding the remaining portion of the second ball bearing within the third port. When the portion of the second ball bearing extends out of the third port, the locking member interfaces with the portion of the at least one ball bearing such that the housing is locked within the utensil mating bracket.
In an embodiment, the utensil mating bracket further includes an actuator port configured to receive an actuator. The actuator can be a rotary actuator. The actuator can be configured to actuate a tool coupled with the utensil mating bracket. The actuator port can be a pneumatic port configured to provide air pressure to the tool in response to a command.
In an embodiment, a method includes providing an actuating rod, at least one ball bearing, and a housing. The method further includes receiving the actuating rod at a first port of the housing. The method further includes receiving, at a second port within the first port, the at least one ball bearing. The first port and second port of the housing are configured to allow motion of the actuating rod in a direction through the first port perpendicular to the at least one ball bearing in the second port. A distal end of the second port further has a hole with a constriction on the outer circumference of the housing. The constriction is configured to allow a portion of the ball bearing to extend out of the second port while holding the remaining portion of the ball bearing within the second port. The method further includes receiving the housing at a utensil mating bracket having a reception port. The reception port has at least one locking member along an outer portion of the reception port, such that when the portion of the at least one ball bearing extends out of the second port. The locking member can interface with the portion of the at least one ball bearing such that the housing is locked within the utensil mating bracket.
The foregoing will be apparent from the following more particular description of example embodiments, as illustrated in the accompanying drawings in which like reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating embodiments.
A description of example embodiments follows.
Operating a robot in a food preparation environment, such as a quick service restaurant, can be challenging for several reasons. First, the end effectors (e.g., utensils), that the robot uses need to remain clean from contamination. Contamination can include allergens (e.g., peanuts), dietary preferences (e.g., contamination from pork for a vegetarian or kosher customer), dirt/bacteria/viruses, or other non-ingestible materials (e.g., oil, plastic, or particles from the robot itself). Second, the robot should be operated within its design specifications, and not exposed to excessive temperatures or incompatible liquids, without sacrificing cleanliness. Third, the robot should be able to manipulate food stuffs, which are often fracturable and deformable materials, and further the robot must be able to measure an amount of material controlled by its utensil in order to dispense specific portions. Fourth, the robot should be able to automatically and seamlessly switch utensils (e.g., switch between a ladle and salad tongs). Fifth, the utensils should be adapted to be left in an assigned food container and interchanged with the robot as needed, in situ. Sixth, the interchangeable parts (e.g., utensils) should be washable and dishwasher safe. Seventh, the robot should be able to autonomously generate a task plan and motion plan(s) to assemble all ingredients in a recipe, and execute that plan. Eighth, the robot should be able to modify or stop a motion plan based on detected interference or voice commands to stop or modify the robot's plan. Ninth, the robot should be able to minimize the applied torque based on safety requirements or the task context or the task parameters (e.g., density and viscosity) of the material to be gathered. Tenth, the system should be able to receive an electronic order from a user, assemble the meal for the user, and place the meal for the user in a designated area for pickup automatically with minimal human involvement.
The food preparation area 102 includes a plurality of ingredient containers 106a-d each having a particular foodstuff (e.g., lettuce, chicken, cheese, tortilla chips, guacamole, beans, rice, various sauces or dressings, etc.). Each ingredient container 106a-d stores in situ its corresponding ingredients. Utensils 108a-d may be stored in situ in the ingredient containers or in a stand-alone tool rack 109. The utensils 108a-d can be spoons, ladles, tongs, dishers (scoopers), spatulas, or other utensils. Each utensil 108a-e is configured to mate with and disconnect from a tool changer interface 112 of a robot arm 110. While the term utensil is used throughout this application, a person having ordinary skill in the art can recognize that the principles described in relation to utensils can apply in general to end effectors in other contexts (e.g., end effectors for moving fracturable or deformable materials in construction with an excavator or backhoe, etc.); and a robot arm can be replaced with any computer controlled actuatable system which can interact with its environment to manipulate a deformable material. The robot arm 110 includes sensor elements/modules such as stereo vision systems (SVS), 3D vision sensors (e.g., Microsoft Kinect™ or an Intel RealSense™), LIDAR sensors, audio sensors (e.g., microphones), inertial sensors (e.g., internal motion unit (IMU), torque sensor, weight sensor, etc.) for sensing aspects of the environment, including pose (i.e., X, Y, Z coordinates and roll, pitch, and yaw angles) of tools for the robot to mate, shape and volume of foodstuffs in ingredient containers, shape and volume of foodstuffs deposited into food assembly container, moving or static obstacles in the environment, etc.
To initiate an order, a patron in the patron area 120 enters an order 124 in an ordering station 122a-b, which is forwarded to a network 126. Alternatively, a patron on a mobile device 128 can, within or outside of the patron area 120, generate an optional order 132. Regardless of the source of the order, the network 126 forwards the order to a controller 114 of the robot arm 110. The controller generates a task plan 130 for the robot arm 110 to execute.
The task plan 130 includes a list of motion plans 132a-d for the robot arm 110 to execute. Each motion plan 132a-d is a plan for the robot arm 110 to engage with a respective utensil 108a-e, gather ingredients from the respective ingredient container 106a-d, and empty the utensil 108a-e in an appropriate location of a food assembly container 104 for the patron, which can be a plate, bowl, or other container. The robot arm 110 then returns the utensil 108a-e to its respective ingredient container 106a-d, the tool rack 109, or other location as determined by the task plan 130 or motion plan 132a-d, and releases the utensil 108a-d. The robot arm executes each motion plan 132a-d in a specified order, causing the food to be assembled within the food assembly container 104 in a planned and aesthetic manner.
Within the above environment, various of the above described problems can be solved. The environment 100 illustrated by
Tool changers allow one mechanical robot or robot arm to exchange end effectors, and therefore be used for a variety of different purposes. For example, a robot arm with the ability to change end effectors can both grab an item with a claw and scoop an item with a scooper tool. The industry standard for tool changers does not provide product lines or models targeted at the food service industry, however. Available tool changer masters typically employ a metallic design for higher load industrial applications.
The present disclosure describes a food-safe tool changer that is constructed from low-load, food-safe materials. The disclosure further provides a degree of compliance to allow some misalignment when tool mating, which assists with automated tool mating. The invention further provides a food-safe shield to any accoutrements aimed at assisting the functionality of the tool changer master. A food-safe tool changer does not discard materials/shavings into the food, does not user non-edible lubricants, and all materials used are non-poisonous and/or edible.
For a robot arm to perform a task are traditionally configured with a specialized tool mounted to the end of the arm, referred to as an end-effector. Tasks also usually require more than one tool, and robots often are equipped with a flange that allows rapidly exchanging end-effectors. The flange is known as a tool-changer (see ATI Industrial Automation, etc.). Tool-changers are usually stiff, mechanically robust, able to be locked and un-locked using a remote actuation mechanism, and compatible with the environmental requirements of the task. In the restaurant embodiments of the present disclosure, the environmental requirements include being wash-down compatible food safe, and able to handle high temperatures, and other food-specific requirements.
Tool-changing has been around for as long as machine tools. Many tool changing standards currently exist for CNC (computer numerical control) machines with automatic tool changers (ATC).
Due to challenges of programming robot motion, much of the task complexity is often placed in the end-effector. Therefore, end-effectors are often complicated and contain many actuatable mechanisms and sensors. For the end-effectors to be exchangeable, existing tool changers contain a single mechanical locking mechanism and many pneumatic and electrical signal carrying accoutrements to pass to the tool.
Due to their complexity, these tools are expensive to develop and manufacture at scale. The goal of the present disclosure is to enable tool changing between tools that require actuation, without needing an actuator to be packaged on the tool side. Such a design removes complexity from each tool by adding features to the tool-changer master (e.g., the component which remains attached to the robot). The disclosed invention adds a nested configurable drive shaft with rotational capabilities that is linked to a linear shaft which actuates the locking mechanism, in a similar fashion to existing tool-changers. This approach replaces electrical and pneumatic feedthroughs with a single additional mechanical connection, which reduces the tool complexity and thus drastically reducing the cost of the tool side implements. In effect, this approach enables robot to employ tools that are more replaceable or disposable, economically in-line with traditional kitchen utensils (e.g., spatulas, tongs, dishers, and spoons).
In addition to the problem described above, the industry standard for tool changers does not contain a product line targeted at the food service industry. Available tool changer masters typically utilize materials that are not food-safe and are not protected against foreign material ingress (e.g., food clogging the mechanism). The invention described is constructed from food-safe materials and contains various sealing features that protect from ingress and enable wash-down cleaning.
The present disclosure illustrates and describes two tool changer designs below. A first design is illustrated in
The second design is illustrated in
While the first and second tool changer design are described as above, a person having ordinary skill in the art may combine various features described herein of both designs into other designs to create other tool changer designs.
Following
The teachings of all patents, published applications and references cited herein are incorporated by reference in their entirety.
While example embodiments have been particularly shown and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the embodiments encompassed by the appended claims.
This application claims the benefit of U.S. Provisional Application No. 62/730,703, filed on Sep. 13, 2018, U.S. Provisional Application No. 62/730,947, filed on Sep. 13, 2018, U.S. Provisional Application No. 62/730,933, filed on Sep. 13, 2018, U.S. Provisional Application No. 62/730,918, filed on Sep. 13, 2018, U.S. Provisional Application No. 62/730,934, filed on Sep. 13, 2018 and U.S. Provisional Application No. 62/731,398, filed on Sep. 14, 2018. This application is related to U.S. patent application Ser. No. 16/570,100, U.S. patent application Ser. No. 16/570,855, U.S. patent application Ser. No. 16/571,003, U.S. patent application Ser. No. 16/570,915, U.S. patent application Ser. No. 16/570,976, U.S. patent application Ser. No. 16/570,736, U.S. patent application Ser. No. 16/571,025, U.S. patent application Ser. No. 16/570,606, U.S. patent application Ser. No. 16/571,040, and U.S. patent application Ser. No. 16/571,041, all filed on the same day, Sep. 13, 2019.
Number | Name | Date | Kind |
---|---|---|---|
4512709 | Hennekes | Apr 1985 | A |
4513709 | Hennekes | Apr 1985 | A |
4604787 | Silvers, Jr. | Aug 1986 | A |
4611377 | McCormick | Sep 1986 | A |
4624043 | Bennett | Nov 1986 | A |
4676142 | McCormick | Jun 1987 | A |
4875275 | Hutchinson | Oct 1989 | A |
4896357 | Hatano | Jan 1990 | A |
4904514 | Morrison et al. | Feb 1990 | A |
5018266 | Hutchinson | May 1991 | A |
5044063 | Voellmer | Sep 1991 | A |
5131706 | Appleberry | Jul 1992 | A |
5136223 | Karakama | Aug 1992 | A |
5360249 | Monforte | Nov 1994 | A |
5396346 | Nakayama | Mar 1995 | A |
5774841 | Salazar et al. | Jun 1998 | A |
5879277 | Dettman | Mar 1999 | A |
6223110 | Rowe et al. | Apr 2001 | B1 |
6427995 | Steinwall | Aug 2002 | B1 |
6569070 | Harrington | May 2003 | B1 |
6678572 | Oh | Jan 2004 | B1 |
8095237 | Habibi | Jan 2012 | B2 |
9186795 | Edsinger et al. | Nov 2015 | B1 |
9189742 | London | Nov 2015 | B2 |
9259840 | Chen | Feb 2016 | B1 |
9346164 | Edsinger et al. | May 2016 | B1 |
9427876 | Mozeika et al. | Aug 2016 | B2 |
9659225 | Joshi et al. | May 2017 | B2 |
9744668 | Russell et al. | Aug 2017 | B1 |
9547306 | Sepulveda | Oct 2017 | B2 |
10131053 | Sampedro et al. | Nov 2018 | B1 |
10427306 | Quinlan | Oct 2019 | B1 |
11016491 | Millard | May 2021 | B1 |
11116593 | Hashimoto et al. | Sep 2021 | B2 |
11351673 | Zito et al. | Jun 2022 | B2 |
20020144565 | Ambrose | Oct 2002 | A1 |
20020151848 | Capote et al. | Oct 2002 | A1 |
20020158599 | Fujita | Oct 2002 | A1 |
20030060930 | Fujita | Mar 2003 | A1 |
20040039483 | Kemp et al. | Feb 2004 | A1 |
20040172380 | Zhang | Sep 2004 | A1 |
20050004710 | Shimomura et al. | Jan 2005 | A1 |
20050171643 | Sabe et al. | Aug 2005 | A1 |
20050193901 | Buehler | Sep 2005 | A1 |
20050283475 | Beranik | Dec 2005 | A1 |
20060137164 | Kraus | Jun 2006 | A1 |
20060141200 | D'Amdreta | Jun 2006 | A1 |
20060165953 | Castelli | Jul 2006 | A1 |
20070233321 | Suzuki | Oct 2007 | A1 |
20070274812 | Ban et al. | Nov 2007 | A1 |
20070276539 | Habibi et al. | Nov 2007 | A1 |
20080059178 | Yamamoto et al. | Mar 2008 | A1 |
20080161970 | Adachi et al. | Jul 2008 | A1 |
20080201016 | Finlay | Aug 2008 | A1 |
20080237921 | Butterworth | Oct 2008 | A1 |
20090075796 | Doll | Mar 2009 | A1 |
20090292298 | Lin | Nov 2009 | A1 |
20100114371 | Tsusaka et al. | May 2010 | A1 |
20100292707 | Ortmaier | Nov 2010 | A1 |
20110060462 | Aurnhammer et al. | Mar 2011 | A1 |
20110256995 | Takazakura et al. | Oct 2011 | A1 |
20120016678 | Gruber | Jan 2012 | A1 |
20120255388 | McClosky | Oct 2012 | A1 |
20120290134 | Zhao et al. | Nov 2012 | A1 |
20130079930 | Mistry | Mar 2013 | A1 |
20130103198 | Nakamoto et al. | Apr 2013 | A1 |
20140067121 | Brooks | Mar 2014 | A1 |
20140163736 | Azizian et al. | Jun 2014 | A1 |
20150051734 | Zheng | Feb 2015 | A1 |
20150114236 | Roy | Apr 2015 | A1 |
20150148953 | Laurent et al. | May 2015 | A1 |
20150149175 | Hirata et al. | May 2015 | A1 |
20150178953 | Laurent | May 2015 | A1 |
20150277430 | Linnell | Oct 2015 | A1 |
20150375402 | D Andreta | Dec 2015 | A1 |
20160016315 | Kuffner et al. | Jan 2016 | A1 |
20160073644 | Dickey | Mar 2016 | A1 |
20160075023 | Sisbot | Mar 2016 | A1 |
20160291571 | Cristiano | Oct 2016 | A1 |
20160372138 | Shinkai et al. | Dec 2016 | A1 |
20170004406 | Aghamohammadi | Jan 2017 | A1 |
20170080565 | Dalibard | Mar 2017 | A1 |
20170087722 | Aberg et al. | Mar 2017 | A1 |
20170133009 | Cho et al. | May 2017 | A1 |
20170168488 | Wierzynski | Jun 2017 | A1 |
20170326728 | Prats | Nov 2017 | A1 |
20170334066 | Levine | Nov 2017 | A1 |
20170354294 | Shivaiah | Dec 2017 | A1 |
20170361461 | Tan | Dec 2017 | A1 |
20180056520 | Ozaki | Mar 2018 | A1 |
20180070776 | Ganninger | Mar 2018 | A1 |
20180121994 | Matsunaga et al. | May 2018 | A1 |
20180144244 | Masoud et al. | May 2018 | A1 |
20180147718 | Oleynik | May 2018 | A1 |
20180147723 | Vijayanarasimhan | May 2018 | A1 |
20180150661 | Hall et al. | May 2018 | A1 |
20180200014 | Bonny et al. | Jul 2018 | A1 |
20180200885 | Ikeda et al. | Jul 2018 | A1 |
20180202819 | Mital | Jul 2018 | A1 |
20180214221 | Crawford | Aug 2018 | A1 |
20180257221 | Toothaker et al. | Sep 2018 | A1 |
20180275632 | Zhang et al. | Sep 2018 | A1 |
20180338504 | Lavri et al. | Nov 2018 | A1 |
20180345479 | Martino et al. | Dec 2018 | A1 |
20180348783 | Pitzer et al. | Dec 2018 | A1 |
20180354140 | Watanabe | Dec 2018 | A1 |
20190001489 | Hudson et al. | Jan 2019 | A1 |
20190039241 | Langenfeld | Feb 2019 | A1 |
20190049970 | Djuric et al. | Feb 2019 | A1 |
20190056751 | Ferguson et al. | Feb 2019 | A1 |
20190066680 | Woo et al. | Feb 2019 | A1 |
20190291277 | Oleynik | Sep 2019 | A1 |
20190310611 | Jain | Oct 2019 | A1 |
20190321989 | Anderson et al. | Oct 2019 | A1 |
20190381617 | Patrini et al. | Dec 2019 | A1 |
20200023520 | Yoshizumi | Jan 2020 | A1 |
20200030966 | Hasegawa | Jan 2020 | A1 |
20200047349 | Sinnet et al. | Feb 2020 | A1 |
20200070355 | Neumann et al. | Mar 2020 | A1 |
20200073358 | Dedkov et al. | Mar 2020 | A1 |
20200086437 | Johnson | Mar 2020 | A1 |
20200086482 | Johnson | Mar 2020 | A1 |
20200086485 | Johnson | Mar 2020 | A1 |
20200086487 | Johnson | Mar 2020 | A1 |
20200086497 | Johnson | Mar 2020 | A1 |
20200086498 | Johnson | Mar 2020 | A1 |
20200086502 | Johnson | Mar 2020 | A1 |
20200086509 | Johnson | Mar 2020 | A1 |
20200087069 | Johnson | Mar 2020 | A1 |
20200090099 | Johnson | Mar 2020 | A1 |
20200298403 | Nilsson et al. | Sep 2020 | A1 |
20220066456 | Ebrahimi et al. | Mar 2022 | A1 |
Number | Date | Country |
---|---|---|
10313068 | Jan 2017 | CN |
107092209 | Aug 2017 | CN |
3723329 | Jan 1988 | DE |
3823102 | Jan 1990 | DE |
138461 | Apr 1985 | EP |
474881 | Mar 1992 | EP |
1145804 | Oct 2001 | EP |
2011610 | Jan 2019 | EP |
3015334 | Jun 2015 | FR |
2550396 | Nov 2017 | GB |
2004295620 | Oct 2004 | JP |
200849462 | Mar 2008 | JP |
2020028957 | Feb 2020 | JP |
9903653 | Jan 1999 | WO |
2005072917 | Nov 2005 | WO |
2009045827 | Apr 2009 | WO |
20150117156 | Aug 2015 | WO |
20170197170 | Nov 2017 | WO |
20180133861 | Jul 2018 | WO |
2020056279 | Mar 2020 | WO |
2020056295 | Mar 2020 | WO |
2020056301 | Mar 2020 | WO |
2020056353 | Mar 2020 | WO |
2020056362 | Mar 2020 | WO |
2020056373 | Mar 2020 | WO |
2020056374 | Mar 2020 | WO |
2020056375 | Mar 2020 | WO |
2020056376 | Mar 2020 | WO |
2020056377 | Mar 2020 | WO |
2020056380 | Mar 2020 | WO |
Entry |
---|
Yang et al., “Obstacle Avoidance through Deep Networks based Intermediate Perception”, Apr. 27, 2017, The Robotics Instiute, Carnegie Mellon University (Year: 2017). |
Anandan, T.M., “The Shrinking Footprint of Robot Safety”, Robotics Online, Oct. 6, 2014. https://www.robotics.org/content-detail.cfm/Industrial-Robotics-Industry-Insights/The-ShrinkingFootprint-of-Robot-Safety/content_id/5059. |
Blutinger, J., et al., “Scoop: Automating the Ice Cream Scooping Process”, Introduction to Robotics MECE E4602, Group 8 Final Project, Dec. 2016. |
Bollini, M., et al., “Interpreting and Executing Recipes with a Cooking Robot”, Experimental Robotics, 2013. |
Cao, Z., et al. “Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017. |
Dantam, N.T., et al. “Incremental Task and Motion Planning” A Constraint-Based Approach, Robotics: Science and Systems 12, 00052, 2016. |
Ferrer-Mestres, J., et al., “Combined Task and Motion Planning As A Classical Al Planning” arXiv preprint arXiv: 1706.06927, 2017—arxiv.org; Jun. 21, 2017. |
Kaelbling, L.P, et al., “Integrated task and motion planning in beliefs space” The International Journal of Robotics Research; 0(0) 1-34; 2013. |
Martinez, J., et al., “On human motion prediction using recurrent neural networks.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017. |
Nedunuri, S., et al., “SMT-Based Synthesis of Integrated Task and Motion Plan from Plan Outlines”; the Proceedings of the 2014 IEEE Intl. Conf. on Robotics and Automation (ICRA2014). |
Saxena, A., et al., “RoboBrain: Large-Scale Knowledge Engine for Robots”, arXiv preprint arXiv:1412.0691 (2014). |
Schenck, C., et al., “Learning Robotic Manipulation of Granular Media”, 1st Conference on Robot Learning, arXiv:1709.02833, Oct. 25, 2017. |
Shimizu, T. and Kubota, T., “Advanced Sampling Scheme Based on Environmental Stiffness for a Smart Manipulator”, Robot Intelligence Technology and Applications, pp. 19-208. 2012. |
Srivastava, S., et al. “Combined Task and Motion Planning Through an Extensible Planner-Independent Interface Layer”; 2014 IEEE international conference on robotics and automation (ICRA), 639-646. |
Stentz, A., et al., “A Robotic Excavator for Autonomous Truck Loading”, In Proceedings of the IEEE/RSJ International Conference on Intelligent Robotic Systems, 1998. |
Villegas, et al, “Learning to Generate Long-term Future via Hierarchical Prediction”, In Proceedings of the 34th International Conference on Machine Learning (ICML), 2017. |
Walker, J., et al., “The pose knows: Video forecasting by generating pose futures”, In The IEEE International Conference on Computer Vision (ICCV), Oct. 2017. |
Watson, J,. Kevin, et al. “Use of Voice Recognition for Control of a Robotic Welding Workcell”, IEEE Control Systems Magazine; p. 16-18; (ISSN 0272-1708); 7 , Jun. 1, 1987. |
Wong, J.M., et al., “SegICP-DSR: Dense Semantic Scene Reconstruction and Registration”, Draper, arXiv: 1711.02216; Nov. 6, 2017. |
Wong, J.M., et al., “SegICP: Integrated Deep Semantic Segmentation and Pose Estimation”, Massachusetts Institute of Technology, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); Sep. 5, 2017. |
Wu, J., et al., “Real-Time Object Pose Estimation with Pose Interpreter Networks”, IEEE/RSJ International Conference an Intelligent Robots and Systems (IROS), 2018. |
Ye, G., et al., “Demonstration-Guided Motion Planning” Robotics Research. Springer Tracts in Advanced Robotics, vol. 100, 2017. |
International Search Report and Written Opinion for PCT/US2019/051148 dated Dec. 12, 2019 entitled “Food-Safe, Washable, Thermally-Conductive Robot Cover”. |
Anonymous: “Pate a pizza fine—Notre recette avec photos—Meilleur du Chef,” Retrieved from the Internet: URL: https://www.meilleurduchef.com/fr/recette/pate-pizza-fine.html# [retrieved on Dec. 5, 2019]. |
International Search Report and Written Opinion for PCT/US2019/051176 dated Dec. 12, 2019 entitled “Determining How To Assemble A Meal”. |
International Search Report and Written Opinion for PCT/US2019/051175 dated Jan. 3, 2020 entitled Stopping Robot Motion Based On Sound Cues . |
Dexai Robotics: “Alfred Sous-Chef scooping ice-cream” Youtube, retrieved from Internet Jun. 8, 2018. https://www.youtube.com/watch?v=caNG4qrZhRU. |
International Search Report and Written Opinion for PCT/US2019/051179 dated Jan. 9, 2020 entitled “An Adaptor for Food-Safe, Bin-Compatible, Washable, Tool-Changer Utensils”. |
International Search Report and Written Opinion for PCT/US2019/051177 dated Jan. 9, 2020 entitled “Voice Modification To Robot Motion Plans”. |
International Search Report and Written Opinino for PCT/US2019/051183 dated Jan. 14, 2020 entitled “Locating And Attaching Interchangeable Tools In-Situ”. |
International Search Report and Written Opinion for PCT/US2019/051067 dated Jan. 16, 2020 entitled “Robot nteraction With Human Co-Workers”. |
International Search Report and Written Opinion for PCT/US2019/051161 dated Jan. 15, 2020 entitled “Food-Safe, Nashable Interface For Exchanging Tools”. |
ATI Industrial Automation: Automatic/RoboticTool Changers, “Automatic/RoboticTool Changes”, Tool Changer News. Downloaded from Internet Feb. 4, 2020. https://www.ati-ia.com/products/toolchanger/robot_tool_changer.aspx. |
Dexai Robotics: “A Robot Company Is Born”, retrieved from Internet from Feb. 5, 2020. https://draper.com/dexai-robotics. |
Draper—“A ‘Preceptive Robot’ Earns Draper Spots as KUKA Innovation Award Finalist” Aug. 30, 2017, retrieved from Internet from Feb. 5, 2020. https://www.draper.com/news-releases/perceptive-robot-earns-draper-spot-kuka-innovation-award-finalist. |
“Draper Spins Out Dexai Robotics”, Mar. 21, 2019, retrieved from Internet from Feb. 5, 2020. https://www.draper.com/news-releases/draper-spins-out-dexai-robotics. |
Dynamic Robotic Manipulation—KUKA Innovation—Finalist Spotlight—Apr. 26, 2018 retrieved from Internet Feb. 5, 2020. https://youtube.com/watch?v=7wGc-4uqOKw. |
Siciliano, B., et al. “Chapter 8—Motion Control—Robotics Modelling Planning and Control”, In: Robotics Modelling Planning and Control, Dec. 23, 2009. |
Siciliano, B., et al. “Chapter 9—Force Control—Robotics Modelling Planning and Control”, In: Robotics Modelling Planning and Control, Dec. 23, 2009. |
International Search Report and Written Opinion for PCT/US2019/051040 dated Feb. 7, 2020 entitled “Manipulating Fracturable And Deformable Materials Using Articulated Manipulators”. |
International Search Report and Written Opinion for PCT/US2019/051180 dated Jan. 31, 2020 entitled “One-Click Robot Order”. |
International Search Report and Written Opinion for PCT/US2019/051061 dated Apr. 3, 2020 titled “Controlling Robot Torque And Velocity Based On Context”. |
Olin College of Engineering, “Autonomous Tool Changer” Draper 2016-2017, retrieved from Internet Feb. 5, 2020. http://www.olin.edu/sites/default/files/draperarchival2.pdf. |
Olin College of Engineering, Autonomous Tool Changer, MoMap and the Future, “How Can We Enable a Robotic Arm to Change and Use Human Tools Autonomously”. Date unknown. |
Feddema, John T., et al., Model-Based Visual Feedback Control for a Hand-Eye Coordinated Robotic System, Aug. 1992, IEEE, vol. 25, Issue: 8, pp. 21-31 (Year: 1992). |
Charabaruk, Nicholas; “Development of an Autonomous Omnidirectional Hazardous Material Handling Robot”;. University of Ontario Institute of Technology (Canada). ProQuest Dissertations Publishing, 2015. 10006730. (Year: 2015). |
Langsfeld, Joshua D.; “Learning Task Models for Robotic Manipulation of Nonrigid Objects”; University of Maryland, College Park. ProQuest Dissertations Publishing, 2017. 10255938. (Year: 2017). |
Number | Date | Country | |
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20200086503 A1 | Mar 2020 | US |
Number | Date | Country | |
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62731398 | Sep 2018 | US | |
62730933 | Sep 2018 | US | |
62730947 | Sep 2018 | US | |
62730703 | Sep 2018 | US | |
62730934 | Sep 2018 | US | |
62730918 | Sep 2018 | US |