Abstract
This paper presents a decision-theoretic approach to problems that require accurate placement of a robot relative to an object of known shape, such as grasping for assembly or tool use. The decision process is applied to a robot hand with tactile sensors, to localize the object on a table and ultimately achieve a target placement by selecting among a parameterized set of grasping and information-gathering trajectories. The process is demonstrated in simulation and on a real robot. This work has been previously presented in Hsiao et al. (Workshop on Algorithmic Foundations of Robotics (WAFR), 2008; Robotics Science and Systems (RSS), 2010) and Hsiao (Relatively robust grasping, Ph.D. thesis, Massachusetts Institute of Technology, 2009).
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Hsiao, K., Kaelbling, L.P. & Lozano-Pérez, T. Robust grasping under object pose uncertainty. Auton Robot 31, 253–268 (2011). https://doi.org/10.1007/s10514-011-9243-2
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DOI: https://doi.org/10.1007/s10514-011-9243-2