Reactive motion control for human-robot tactile interaction

In the field of service robotics, robots serve and assist human beings. It is natural for humans to directly interact with the robot via tactile interfaces. This paper introduces several kinds of tactile interactions between a user and the robot as well as interactions of the robot with the environment. All interactions are implemented in a single paradigm: Forces measured from tactile sensors result in motion vectors at the contact points. The motion vectors from different sensors are superimposed and then determine the robot's joint velocities. We present results from our experimental setup consisting of an 8 degrees of freedom manipulator arm mounted on a mobile platform. In the illustrated example, a human interacts with the robot using only the tactile interface.

[1]  Vladimir J. Lumelsky,et al.  A modularized sensitive skin for motion planning in uncertain environments , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[2]  Gisbert Lawitzky.  SINAS ® - Ein Navigationssystem für Serviceroboter (SINAS ® - A Navigation System for Service Robots). , 2000 .

[3]  Jean-Claude Latombe,et al.  Robot motion planning , 1970, The Kluwer international series in engineering and computer science.

[4]  Sebastian Thrun,et al.  Spontaneous, short-term interaction with mobile robots , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[5]  Thierry Siméon,et al.  Visibility based probabilistic roadmaps , 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289).

[6]  Lydia E. Kavraki,et al.  Randomized preprocessing of configuration space for path planning: articulated robots , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[7]  Pradeep K. Khosla,et al.  Tactile gestures for human/robot interaction , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[8]  Hiroyuki Shinoda,et al.  Acoustic resonant tensor cell for tactile sensing , 1997, Proceedings of International Conference on Robotics and Automation.

[9]  Jens-Steffen Gutmann,et al.  MobMan - Ein mobiler Manipulator für Alltagsumgebungen , 2000, AMS.

[10]  Cynthia Breazeal,et al.  A Motivational System for Regulating Human-Robot Interaction , 1998, AAAI/IAAI.

[11]  O. Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[12]  Masayuki Inaba,et al.  A full-body tactile sensor suit using electrically conductive fabric and strings , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[13]  Wolfram Burgard,et al.  MINERVA: A Tour-Guide Robot that Learns , 1999, KI.

[14]  Oussama Khatib,et al.  Elastic bands: connecting path planning and control , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[15]  Hiroyuki Shinoda,et al.  Passive wireless sensing element for sensitive skin , 2000, Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113).

[16]  John T. Feddema,et al.  A capacitance-based proximity sensor for whole arm obstacle avoidance , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[17]  Mark W. Spong,et al.  Robot dynamics and control , 1989 .

[18]  Rajnikant V. Patel,et al.  Real-time collision avoidance for a redundant manipulator in an unstructured environment , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).