Human skill capture: A hidden Markov model of force and torque data in peg-in-a-hole assembly process

A new model has been constructed to generalise the force and torque information during a manual peg-in-a-hole (PiH) assembly process. The paper uses Hidden Markov Model analysis to interpret the state topology (transition probability) and observations (force/torque signal) in the manipulation task....

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Bibliographic Details

Main Authors:	Yuchen Zhao, Ali Al-Yacoub, Yee Goh, Laura Justham, Niels Lohse, Michael Jackson
Format:	Default Conference proceeding
Published:	2016
Subjects:	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/23093
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