Local motion planning for collaborative multi-robot manipulation of deformable objects

This paper presents a formalism that exploits deformability during manipulation of soft objects by robot teams. A hybrid centralized/distributed approach restricts centralized planning to high-level global guidance of the object for consensus. Low-level control is thus delegated to the individual manipulator robots, which retain manipulation and collision avoidance guarantees by passing forces to one another through the object. A distributed receding horizon planner provides local control, formulated as a convex optimization problem in velocity space and incorporating constraints for both collision avoidance and shape maintenance. We demonstrate teams of mobile manipulators autonomously carrying various deformable objects.

[1]  Jun Ota,et al.  Motion planning of multiple mobile robots for Cooperative manipulation and transportation , 2003, IEEE Trans. Robotics Autom..

[2]  Oussama Khatib,et al.  Coordination and decentralized cooperation of multiple mobile manipulators , 1996, J. Field Robotics.

[3]  Dinesh Manocha,et al.  Path Planning for Deformable Robots in Complex Environments , 2005, Robotics: Science and Systems.

[4]  Bruce Randall Donald,et al.  Moving furniture with teams of autonomous robots , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[5]  Kostas J. Kyriakopoulos,et al.  Modeling of multiple mobile manipulators handling a common deformable object , 1998, J. Field Robotics.

[6]  Vijay Kumar,et al.  Dynamics, Control and Planning for Cooperative Manipulation of Payloads Suspended by Cables from Multiple Quadrotor Robots , 2013, Robotics: Science and Systems.

[7]  Vijay Kumar,et al.  Motion planning for cooperating mobile manipulators , 1999, J. Field Robotics.

[8]  Raffaello D'Andrea,et al.  Cooperative quadrocopter ball throwing and catching , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Kostas J. Kyriakopoulos,et al.  Nonholonomic navigation and control of cooperating mobile manipulators , 2003, IEEE Trans. Robotics Autom..

[10]  Pierre Payeur,et al.  Dexterous Robotic Manipulation of Deformable Objects with Multi-Sensory Feedback - a Review , 2010 .

[11]  Paolo Fiorini,et al.  Motion Planning in Dynamic Environments Using Velocity Obstacles , 1998, Int. J. Robotics Res..

[12]  Thomas Sugar,et al.  Control of cooperating mobile manipulators , 2002, IEEE Trans. Robotics Autom..

[13]  Shuzhi Sam Ge,et al.  Robust Adaptive Control of Coordinated Multiple Mobile Manipulators , 2007, 2007 IEEE International Conference on Control Applications.

[14]  Andrew Nealen,et al.  Physically Based Deformable Models in Computer Graphics , 2006, Comput. Graph. Forum.

[15]  M. Ani Hsieh,et al.  Multi-robot manipulation via caging in environments with obstacles , 2008, 2008 IEEE International Conference on Robotics and Automation.

[16]  Lydia E. Kavraki,et al.  The Open Motion Planning Library , 2012, IEEE Robotics & Automation Magazine.

[17]  Paul A. Beardsley,et al.  Collision avoidance for multiple agents with joint utility maximization , 2013, 2013 IEEE International Conference on Robotics and Automation.

[18]  Dinesh Manocha,et al.  Reciprocal n-Body Collision Avoidance , 2011, ISRR.

[19]  Erwin Prassler,et al.  KUKA youBot - a mobile manipulator for research and education , 2011, 2011 IEEE International Conference on Robotics and Automation.