Task-Oriented Grasp Planning Based on Disturbance Distribution
Document Type
Book Chapter
Publication Date
2016
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-319-28872-7_33
Abstract
One difficulty of task-oriented grasp planning is task modeling. In this paper, a manipulation task was modeled by building a non-parametric statistical distribution model from disturbance data captured during demonstrations. This paper proposes a task-oriented grasp quality criterion based on distribution of task disturbance and uses the criterion to search for a grasp that covers the most significant part of the disturbance distribution. To reduce the computational complexity of the search in a high-dimensional robotic hand configuration space, as well as to avoid a correspondence problem, the candidate grasps are computed from a reduced configuration space that is confined by a set of given thumb placements and thumb directions. The proposed approach has been validated with a Barrett hand and a Shadow hand on several objects in simulation. The resulting grasps in the evaluation generated by our approach increase the coverage of frequently-occurring disturbance rather than the coverage of a large area with a scattered distribution.
Citation / Publisher Attribution
In M. Inaba & P. Corke. (eds). Robotics Research. Switzerland: Springer International Publishing.
Scholar Commons Citation
Lin, Yun and Sun, Yu, "Task-Oriented Grasp Planning Based on Disturbance Distribution" (2016). Computer Science and Engineering Faculty Publications. 4.
https://digitalcommons.usf.edu/esb_facpub/4
