Control architecture for the Belgrade/USC hand
Dextrous robot hands
The generic graph component library
Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces
ACM SIGGRAPH 2004 Papers
On the Probabilistic Foundations of Probabilistic Roadmap Planning
International Journal of Robotics Research
A General Deterministic Sequence for Sampling d-Dimensional Configuration Spaces
Journal of Intelligent and Robotic Systems
Improving Motion-Planning Algorithms by Efficient Nearest-Neighbor Searching
IEEE Transactions on Robotics
Efficient search of obstacle-free paths for anthropomorphic hands
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
An assistive tele-operated anthropomorphic robot hand: osaka city university hand ii
Proceedings of the 6th international conference on Human-robot interaction
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The paper deals with the problem of motion planning of anthropomorphic mechanical hands avoiding collisions. The proposed approach tries to mimic the real human hand motions, but reducing the dimension of the search space in order to obtain results as a compromise between motion optimality and planning complexity (time) by means of the concept of principal motion directions. Basically, the work includes the following phases: capturing the human hand workspace using a sensorized glove and mapping it to the mechanical hand workspace, reducing the space dimension by looking for the most relevant principal motion directions, and planning the hand movements using a sampling-based roadmap planner. The approach has been implemented for a four finger anthropomorphic mechanical hand, and some examples are included to illustrate its validity.