Contact point detection for grasping an unknown object using self-posture changeability
- Hiroshima Univ. (Japan). Dept. of Industrial and Systems Engineering
- Mechanical Engineering Lab., Tsukuba (Japan). Robotics Dept.
Determining where the fingers of a multi-fingered robot hand touch an object of unknown shape plays an important role in achieving a stable grasp. This paper focuses on a scheme for identifying such contact points. Instead of mounting a distributed tactile sensor all over the finger links, the authors propose an active sensing approach using joint compliance. The proposed scheme is composed of two phases. In the first phase, the approach phase, each finger is extended to its most distal position as it approaches the object. This phase continues until any part of a finger link contacts the object. During the second phase, the detection phase, each finger's posture is strategically changed by sliding the finger over the object while maintaining contact between the object and the finger. Using two selected postures during the detection phase, they can compute an intersecting point that gives an approximate contact point. This paper developed the algorithm and provides results from an experimental implementation of the scheme on a two-fingered robot hand running a joint level compliance controller. The process of changing the posture (or configuration) of the finger while maintaining object-finger contact is called Self-Posture Changeability (SPC). This is an essential part of the detection phase. SPC is possible by using a suitable combination of compliant and position-controlled joints. The posture change is made possible by making small angular displacements at position-controlled joints after part of finger makes contact with the object. This paper also develops sufficient conditions to demonstrate the robustness of the SPC technique to variations in the coefficient of friction. Experimental results are provided to demonstrate the basic characteristics of Self-Posture Changing Motions (SPCM's).
- OSTI ID:
- 7255616
- Journal Information:
- IEEE Transactions on Robotics and Automation (Institute of Electrical and Electronics Engineers); (United States), Vol. 10:3; ISSN 1042-296X
- Country of Publication:
- United States
- Language:
- English
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