Vision and tactile sensing for real world tasks

Robotic fetch-and-carry tasks are commonly facilitated to demonstrate a number of research directions such as navigation, mobile manipulation, systems integration, etc. As a part of an integrated system in terms of a service robot framework, this paper describes a set of methods for real-world object manipulation tasks. We concentrate here on two particular parts of a manipulation sequence: i) robust visual servoing, and ii) grasping strategies. In terms of visual servoing we discuss the handling of singularities during a manipulation sequence. For grasping, we present a biologically motivated strategy using tactile feedback.

[1]  Danny Roobaert Pedagogical support vector learning : a pure learning approach to object recognition , 2001 .

[2]  Randy H. Katz,et al.  Contemporary Logic Design , 2004 .

[3]  Danica Kragic Visual Servoing for Manipulation : Robustness and Integration Issues , 2001 .

[4]  Jan-Olof Eklundh,et al.  A pure learning approach to background-invariant object recognition using pedagogical support vector learning , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[5]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[6]  Avinash C. Kak,et al.  Vision for Mobile Robot Navigation: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Hiroshi Murase,et al.  Subspace methods for robot vision , 1996, IEEE Trans. Robotics Autom..

[8]  Roberto Cipolla,et al.  Real-Time Tracking of Multiple Articulated Structures in Multiple Views , 2000, ECCV.

[9]  Oussama Khatib,et al.  Manipulator control at kinematic singularities: a dynamically consistent strategy , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[10]  Danica Kragic,et al.  Real-time tracking meets online grasp planning , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[11]  Danica Kragic,et al.  Model based techniques for robotic servoing and grasping , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  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).

[13]  Peter I. Corke,et al.  A tutorial on visual servo control , 1996, IEEE Trans. Robotics Autom..

[14]  Lars Petersson,et al.  Systems integration for real-world manipulation tasks , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[15]  Lars Petersson,et al.  DCA: a distributed control architecture for robotics , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).