DocumentCode :
115426
Title :
Using haptics to probe human contact control strategies for six degree-of-freedom tasks
Author :
Klingbeil, Ellen ; Menon, Samir ; Go, Kwang-Chun ; Khatib, Oussama
Author_Institution :
Stanford Univ., Stanford, CA, USA
fYear :
2014
fDate :
23-26 Feb. 2014
Firstpage :
93
Lastpage :
95
Abstract :
Transferring human contact-manipulation skills to robots is complicated by the combinatorial growth in contact state descriptions with object and environment complexity, with no systematic method to characterize the subset of contact states that humans actually control. In this paper, we present an approach to determine whether human subjects control specific contact states. Subjects used a six degree-of-freedom haptic interface to place a box on a plane, and insert L- and S-shaped objects into corresponding holes, while using either their (undetermined) natural strategies or explicitly controlling a pre-specified sequence of contact states. We found that the vast majority of contact states were visited for time periods of less than 40ms, which negates the possibility of human feedback control due to physiological delay limits. Next, using force, moment and velocity trajectories around contact state transitions as a metric, we found that certain states were readily discriminable across natural and explicit control strategies (~ 85%), which indicates that they were not controlled during natural motions. Less discriminable states, in contrast, were likely to have been controlled in both natural and explicit strategies. Our results suggest that humans explicitly control a small subset of contact states, and that their control strategies are reflected in local force and velocity profiles. We thus demonstrate that six degree-of-freedom haptic simulations are effective for characterizing human contact-state invariant control strategies.
Keywords :
control engineering computing; feedback; haptic interfaces; human-robot interaction; physiology; L-shaped objects; S-shaped objects; contact-state invariant control strategies; environment complexity; haptic simulations; human contact control strategies; human contact-manipulation skills; human feedback control; object complexity; physiological delay limits; robots; six degree-of-freedom tasks; Dynamics; Educational institutions; Force; Haptic interfaces; Rendering (computer graphics); Robots; Trajectory; Force rendering; Manufacturing/assembly; Perception and psychophysics; Virtual environment modeling; haptic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Haptics Symposium (HAPTICS), 2014 IEEE
Conference_Location :
Houston, TX
Type :
conf
DOI :
10.1109/HAPTICS.2014.6775438
Filename :
6775438
Link To Document :
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