A framework for compliant physical interaction based on multisensor information

Dependable robotic manipulation of everyday objects and execution of household chores is one of the most desired and challenging skills for future service robots. Most of the current research in robotic grasping is limited to pick-and-place tasks, without paying attention to the whole range of different tasks needed in human environments, such as opening doors, interacting with furniture, household electrical appliances, etc. In this article, an integrated sensor-based framework for specifying both the grasp and the task is presented, with the goal of motivating task-oriented grasping and physical interaction based on multisensor information. The grasp is defined as a desired task-suitable relationship between the robot hand and the object being manipulated. The task is defined under the task frame formalism, which allows for sensor-guided compliant interaction. Some guidelines for multisensor-based execution of tasks with hands and tools under the proposed formalism are also given.

[1]  Helge J. Ritter,et al.  Task-oriented quality measures for dextrous grasping , 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

[2]  Wisama Khalil,et al.  Modeling, Identification and Control of Robots , 2003 .

[3]  Fadi Dornaika,et al.  Visually guided object grasping , 1998, IEEE Trans. Robotics Autom..

[4]  Joris De Schutter,et al.  Constraint-based Task Specification and Estimation for Sensor-Based Robot Systems in the Presence of Geometric Uncertainty , 2007, Int. J. Robotics Res..

[5]  Joris De Schutter,et al.  Integrated Vision/Force Robotic Servoing in the Task Frame Formalism , 2003, Int. J. Robotics Res..

[6]  Matthew T. Mason,et al.  Compliance and Force Control for Computer Controlled Manipulators , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Jun Wang,et al.  Synthesis of force-closure grasps on 3-D objects based on the Q distance , 2003, IEEE Trans. Robotics Autom..

[8]  Sukhan Lee,et al.  Compliant physical interaction based on external vision-force control and tactile-force combination , 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

[9]  T. Suehiro,et al.  A model-based manipulation system with skill-based execution in unstructured environment , 1991 .

[10]  Gerd Hirzinger,et al.  Grasp planning: how to choose a suitable task wrench space , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[11]  Henrik I. Christensen,et al.  Automatic grasp planning using shape primitives , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[12]  Tamim Asfour,et al.  Integrated Grasp Planning and Visual Object Localization For a Humanoid Robot with Five-Fingered Hands , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  E. Torres-Jara,et al.  Challenges for Robot Manipulation in Human Environments , 2006 .

[14]  Charles C. Kemp,et al.  Challenges for robot manipulation in human environments [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.

[15]  Mike Stilman,et al.  Task constrained motion planning in robot joint space , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Roberto Cipolla,et al.  Real-Time Visual Tracking of Complex Structures , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Vijay Kumar,et al.  Robotic grasping and contact: a review , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[18]  Joris De Schutter,et al.  Specification of force-controlled actions in the "task frame formalism"-a synthesis , 1996, IEEE Trans. Robotics Autom..

[19]  Wisama Khalil,et al.  Modeling, Identification & Control of Robots , 2002 .

[20]  Andrew Y. Ng,et al.  Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors , 2007, IJCAI.