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Robotic cloth manipulation for clothing assistance task using Dynamic Movement Primitives

Published: 28 June 2017 Publication History

Abstract

The need of robotic clothing assistance in the field of assistive robotics is growing, as it is one of the most basic and essential assistance activities in daily life of elderly and disabled people. In this study we are investigating the applicability of using Dynamic Movement Primitives (DMP) as a task parameterization model for performing clothing assistance task. Robotic cloth manipulation task deals with putting a clothing article on both the arms. Robot trajectory varies significantly for various postures and also there can be various failure scenarios while doing cooperative manipulation with non-rigid and highly deformable clothing article. We have performed experiments on soft mannequin instead of human. Result shows that DMPs are able to generalize movement trajectory for modified posture.

References

[1]
2014. Microsoft Kinect Version 2 for Windows. https://developer.microsoft.com/en-us/windows/kinect. (2014). Accessed: 2017-01-20.
[2]
Joost Broekens, Marcel Heerink, and Henk Rosendal. 2009. Assistive social robots in elderly care: a review. Gerontechnology 8, 2 (2009), 94--103.
[3]
Adria Colomé, Antoni Planells, and Carme Torras. 2015. A friction-model-based framework for reinforcement learning of robotic tasks in non-rigid environments. In Robotics and Automation (ICRA), 2015 IEEE International Conference on. IEEE, 5649--5654.
[4]
Cliff Fitzgerald. 2013. Developing baxter. In Technologies for Practical Robot Applications (TePRA), 2013 IEEE International Conference on. IEEE, 1--6.
[5]
Yixing Gao, Hyung Jin Chang, and Yiannis Demiris. 2015. User modelling for personalised dressing assistance by humanoid robots. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on. IEEE, 1840--1845.
[6]
Yixing Gao, Hyung Jin Chang, and Yiannis Demiris. 2016. Iterative path optimisation for personalised dressing assistance using vision and force information. In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE, 4398--4403.
[7]
AJ Ijspeert, Jun Nakanishi, and Stefan Schaal. 2003. Learning control policies for movement imitation and movement recognition. In Neural information processing system, Vol. 15. 1547--1554.
[8]
Auke Jan Ijspeert, Jun Nakanishi, Heiko Hoffmann, Peter Pastor, and Stefan Schaal. 2013. Dynamical movement primitives: learning attractor models for motor behaviors. Neural computation 25, 2 (2013), 328--373.
[9]
Auke Jan Ijspeert, Jun Nakanishi, and Stefan Schaal. 2002. Movement imitation with nonlinear dynamical systems in humanoid robots. In Robotics and Automation, 2002. Proceedings. ICRA'02. IEEE International Conference on, Vol. 2. IEEE, 1398--1403.
[10]
Ariel Kapusta, Wenhao Yu, Tapomayukh Bhattacharjee, C Karen Liu, Greg Turk, and Charles C Kemp. 2016. Data-driven haptic perception for robot-assisted dressing. In Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on. IEEE, 451--458.
[11]
Steven D Klee, Beatriz Quintino Ferreira, Rui Silva, Joao Paulo Costeira, Francisco S Melo, and Manuela Veloso. 2015. Personalized assistance for dressing users. In International Conference on Social Robotics. Springer, 359--369.
[12]
Nishanth Koganti, Jimson Gelbolingo Ngeo, Tamei Tomoya, Kazushi Ikeda, and Tomohiro Shibata. 2015. Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on. IEEE, 3464--3469.
[13]
Pol Monsó, Guillem Alenyà, and Carme Torras. 2012. Pomdp approach to robotized clothes separation. In Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on. IEEE, 1324--1329.
[14]
Peter Pastor, Heiko Hoffmann, Tamim Asfour, and Stefan Schaal. 2009. Learning and generalization of motor skills by learning from demonstration. In Robotics and Automation, 2009. ICRA'09. IEEE International Conference on. IEEE, 763--768.
[15]
Morgan Quigley, Ken Conley, Brian Gerkey, Josh Faust, Tully Foote, Jeremy Leibs, Rob Wheeler, and Andrew Y Ng. 2009. ROS: an open-source Robot Operating System. In ICRA workshop on open source software, Vol. 3. Kobe, 5.
[16]
Stefan Schaal. 2006. Dynamic movement primitives-a framework for motor control in humans and humanoid robotics. In Adaptive motion of animals and machines. Springer, 261--280.
[17]
Tomoya Tamei, Takamitsu Matsubara, Akshara Rai, and Tomohiro Shibata. 2011. Reinforcement learning of clothing assistance with a dual-arm robot. In Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on. IEEE, 733--738.
[18]
Shinji Umeyama. 1991. Least-squares estimation of transformation parameters between two point patterns. IEEE Transactions on pattern analysis and machine intelligence 13, 4 (1991), 376--380.
[19]
Sethu Vijayakumar and Stefan Schaal. 2000. Locally weighted projection regression: An O (n) algorithm for incremental real time learning in high dimensional space. In Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Vol. 1. 288--293.
[20]
Thiemo Wiedemeyer. 2014 -- 2015. IAI Kinect2. https://github.com/code-iai/iai_kinect2. (2014 -- 2015). Accessed June 12, 2015.
[21]
Lingzhu Xiang, Florian Echtler, Christian Kerl, Thiemo Wiedemeyer, Lars, hanyazou, Ryan Gordon, Francisco Facioni, laborer2008, Rich Wareham, Matthias Goldhoorn, alberth, gaborpapp, Steffen Fuchs, jmtatsch, Joshua Blake, Federico, Henning Jungkurth, Yuan Mingze, vinouz, Dave Coleman, Brendan Burns, Rahul Rawat, Serguei Mokhov, Paul Reynolds, P.E. Viau, Matthieu Fraissinet-Tachet, Ludique, James Billingham, and Alistair. 2016. libfreenect2: Release 0.2. (April 2016).
[22]
Yuji Yamakawa, Akio Namiki, and Masatoshi Ishikawa. 2011. Dynamic manipulation of a cloth by high-speed robot system using high-speed visual feedback. IFAC Proceedings Volumes 44, 1 (2011), 8076--8081.
[23]
Kimitoshi Yamazaki, Ryosuke Oya, Kotaro Nagahama, and Masayuki Inaba. 2013. A method of state recognition of dressing clothes based on dynamic state matching. In System Integration (SII), 2013 IEEE/SICE International Symposium on. IEEE, 406--411.
[24]
Kimitoshi Yamazaki, Ryosuke Oya, Kotaro Nagahama, Kei Okada, and Masayuki Inaba. 2014. Bottom dressing by a life-sized humanoid robot provided failure detection and recovery functions. In System Integration (SII), 2014 IEEE/SICE International Symposium on. IEEE, 564--570.

Cited By

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  • (2024)Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10611111(9931-9938)Online publication date: 13-May-2024
  • (2024)Attention-Based Cloth Manipulation from Model-free Topological Representation2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610241(18207-18213)Online publication date: 13-May-2024
  • (2024)Robotic Fabric Flattening with Wrinkle Direction DetectionExperimental Robotics10.1007/978-3-031-63596-0_30(339-350)Online publication date: 6-Aug-2024
  • Show More Cited By

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      cover image ACM Other conferences
      AIR '17: Proceedings of the 2017 3rd International Conference on Advances in Robotics
      June 2017
      325 pages
      ISBN:9781450352949
      DOI:10.1145/3132446
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 28 June 2017

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      Author Tags

      1. Dynamic Movement Primitives (DMP)
      2. Human-Robot Interaction
      3. Learning and Adaptive Systems
      4. Learning from Demonstration
      5. Robotic Clothing Assistance

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      AIR '17
      AIR '17: Advances in Robotics
      June 28 - July 2, 2017
      New Delhi, India

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      Cited By

      View all
      • (2024)Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10611111(9931-9938)Online publication date: 13-May-2024
      • (2024)Attention-Based Cloth Manipulation from Model-free Topological Representation2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610241(18207-18213)Online publication date: 13-May-2024
      • (2024)Robotic Fabric Flattening with Wrinkle Direction DetectionExperimental Robotics10.1007/978-3-031-63596-0_30(339-350)Online publication date: 6-Aug-2024
      • (2023)Active Object Recognition of Closely Hung Hangers with Cloth by Home Service Robotホームサービスロボットによる衣服が掛けられ密着して吊るされたハンガーの能動的認識Journal of the Robotics Society of Japan10.7210/jrsj.41.88141:10(881-884)Online publication date: 2023
      • (2023)Dynamic movement primitives in robotics: A tutorial surveyThe International Journal of Robotics Research10.1177/0278364923120119642:13(1133-1184)Online publication date: 23-Sep-2023
      • (2023)QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10342002(984-991)Online publication date: 1-Oct-2023
      • (2022)Reproduction of Flat and Flexible Object Deformation using RGB-D Sensor and Robotic Manipulator2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)10.1109/ROBIO55434.2022.10011851(1257-1262)Online publication date: 5-Dec-2022
      • (2022)Learning Deformable Object Manipulation From Expert DemonstrationsIEEE Robotics and Automation Letters10.1109/LRA.2022.31878437:4(8775-8782)Online publication date: Oct-2022
      • (2021)Dynamic Movement Primitives: Volumetric Obstacle Avoidance Using Dynamic Potential FunctionsJournal of Intelligent and Robotic Systems10.1007/s10846-021-01344-y101:4Online publication date: 1-Apr-2021
      • (2020)Assistive VR Gym: Interactions with Real People to Improve Virtual Assistive Robots2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN47096.2020.9223609(299-306)Online publication date: Aug-2020
      • Show More Cited By

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