Manipulation of Flexible Objects

Since decades, industrial robots are capable of grasping and manipulating rigid objects. This is possible because the geometry and position of such objects is known beforehand by the control software. For service robots, the task is more challenging, since it requires the robot to know all types of objects present in the environment (e.g., in an apartment) and to recognize them on the fly to automatically determine the manipulation strategy. Manipulating flexible objects is even more difficult, since along with their position, their shape also varies depending on the applied forces and on their physical properties. Yet, this task is paramount in many fields, spanning from construction to food industry and surgery. This essay reviews applications, challenges, past research works and perspectives of flexible robot manipulation.

[1]  Yunhui Liu,et al.  On the visual deformation servoing of compliant objects: Uncalibrated control methods and experiments , 2014, Int. J. Robotics Res..

[2]  Kayo Yoshimoto,et al.  Active shaping of an unknown rheological object based on deformation decomposition into elasticity and plasticity , 2010, 2010 IEEE International Conference on Robotics and Automation.

[3]  Quang-Cuong Pham,et al.  Robotic Manipulation of a Rotating Chain , 2016, IEEE Transactions on Robotics.

[4]  Philippe Martinet,et al.  Dynamic modeling of cooperative robots holding flexible objects , 2015, 2015 International Conference on Advanced Robotics (ICAR).

[5]  Hisashi Osumi,et al.  Trajectory arrangement based on resistance force and shape of pile at scooping motion , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[6]  Timothy Bretl,et al.  State estimation and tracking of deforming planar elastic rods , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Hidefumi Wakamatsu,et al.  Static Modeling of Linear Object Deformation Based on Differential Geometry , 2004, Int. J. Robotics Res..

[8]  Stephane Cotin,et al.  Capturing Deformations of Interacting Non-rigid Objects Using RGB-D Data , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[9]  Wolfram Burgard,et al.  Learning object deformation models for robot motion planning , 2014, Robotics Auton. Syst..

[10]  Vincenzo Lippiello,et al.  Tracking elastic deformable objects with an RGB-D sensor for a pizza chef robot , 2017, Robotics Auton. Syst..

[11]  Jeremy L. Wyatt,et al.  A Multimodal Model of Object Deformation Under Robotic Pushing , 2017, IEEE Transactions on Cognitive and Developmental Systems.

[12]  Fernando Torres,et al.  In-hand recognition and manipulation of elastic objects using a servo-tactile control strategy , 2017 .

[13]  Yunhui Liu,et al.  Model-Free Visually Servoed Deformation Control of Elastic Objects by Robot Manipulators , 2013, IEEE Transactions on Robotics.

[14]  Shinichi Hirai,et al.  Robust manipulation of deformable objects by a simple PID feedback , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[15]  Kazuhiro Kosuge,et al.  Manipulation of a flexible object by dual manipulators , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[16]  Claire Dune,et al.  Catenary-based visual servoing for tethered robots , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[17]  Eiichi Yoshida,et al.  Simulation-based optimal motion planning for deformable object , 2015, 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO).

[18]  André Crosnier,et al.  Dual-arm robotic manipulation of flexible cables , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[19]  Peter I. Corke,et al.  Towards vision-based manipulation of plastic materials , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[20]  Dinesh Manocha,et al.  Realtime Planning for High-DOF Deformable Bodies Using Two-Stage Learning , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[21]  Lydia E. Kavraki,et al.  Path planning for deformable linear objects , 2006, IEEE Transactions on Robotics.

[22]  Benjamin Navarro,et al.  Robotic Manipulation Planning for Shaping Deformable Linear Objects WithEnvironmental Contacts , 2020, IEEE Robotics and Automation Letters.

[23]  Ana-Maria Cretu,et al.  Soft Object Deformation Monitoring and Learning for Model-Based Robotic Hand Manipulation , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[24]  Michel Taïx,et al.  Motion Planning for an Elastic Rod Using Contacts , 2020, IEEE Transactions on Automation Science and Engineering.

[25]  Christian Duriez,et al.  FEM-Based Deformation Control for Dexterous Manipulation of 3D Soft Objects , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[26]  Belhassen-Chedli Bouzgarrou,et al.  Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey , 2018, Int. J. Robotics Res..

[27]  Yuan F. Zheng,et al.  Strategies for automatic assembly of deformable objects , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[28]  Pierre Payeur,et al.  Visual monitoring of surface deformations on objects manipulated with a robotic hand , 2010, 2010 IEEE International Workshop on Robotic and Sensors Environments.

[29]  Dmitry Berenson,et al.  Manipulation of deformable objects without modeling and simulating deformation , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.