Tactile Sensing-Based Control Architecture in Multi-Fingered Arm for Object Manipulation

This report presents the development of tactile sensing-based control architecture in a multi-fingered humanoid robot arm for object manipulation tasks. With the aim to enhance the ability to recognize and manipulate object in humanoid robot, we developed a novel optical three-axis tactile sensor system mounted on fingertips of the humanoid robot fingers. This tactile sensor applies an optical waveguide transduction method, and capable of acquiring normal and shearing force. Trajectory generation based on kinematical solutions at the arm and fingers, together with control system structure and sensing principle of the tactile sensor system are presented. We proposed control algorithm based on tactile sensing in the robot control system. Object manipulation experiments are conducted using hard and soft objects. Experimental results revealed that the proposed control system enable the finger system to recognize low force interactions based on tactile sensing information to grasp the object surface and manipulate it without causing damage to the object and the sensor elements.

[1]  Yasuo Kuniyoshi,et al.  Embodied basis of invariant features in execution and perception of whole-body dynamic actions - knacks and focuses of Roll-and-Rise motion , 2004, Robotics Auton. Syst..

[2]  Masahiro Ohka,et al.  Sensing Precision of an Optical Three-axis Tactile Sensor for a Robotic Finger , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[3]  M. Shimojo,et al.  A system for simultaneously measuring grasping posture and pressure distribution , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[4]  Mark Lee,et al.  Review Article Tactile sensing for mechatronics—a state of the art survey , 1999 .

[5]  T. Takenaka,et al.  The development of Honda humanoid robot , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[6]  Charles C. Kemp,et al.  Manipulation in Human Environments , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[7]  Yasuo Kuniyoshi,et al.  Conformable and scalable tactile sensor skin for curved surfaces , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[8]  Tamim Asfour,et al.  Programming by demonstration: dual-arm manipulation tasks for humanoid robots , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[9]  J. Denavit,et al.  A kinematic notation for lower pair mechanisms based on matrices , 1955 .

[10]  Andrea Lockerd Thomaz,et al.  Building an autonomous humanoid tool user , 2004, 4th IEEE/RAS International Conference on Humanoid Robots, 2004..

[11]  Eric Maël,et al.  A sensor for dynamic tactile information with applications in human-robot interaction and object exploration , 2006, Robotics Auton. Syst..

[12]  M. Ohka,et al.  Sensing Characteristics of an Optical Three-Axis Tactile Sensor Under Combined Loading. , 1999 .

[13]  L. Natale,et al.  A Sensitive Approach to Grasping , 2005 .

[14]  J. Heo,et al.  Tactile sensor arrays using fiber Bragg grating sensors , 2006 .

[15]  Heinz Wörn,et al.  Development of a flexible tactile sensor system for a humanoid robot , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[16]  Christos E. Constantinou,et al.  Real time robotic tactile sensor system for the determination of the physical properties of biomaterials , 2004 .

[17]  J. Denavit,et al.  A kinematic notation for lowerpair mechanism based on matrices , 1955 .