By Topic

Warning: to err is human [human-friendly robot dependability]

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Y. Yamada ; Safety Intelligence Res. Group, Nat. Inst. of Adv. Ind. & Sci. Technol., Tsukuba, Japan ; T. Morizono ; Y. Umetani ; H. Konosu

In this article we describe current and future technologies for ensuring the safety of the operators maneuvering a Skill-Assist working in an automobile final assembly process. It proposes a method that allows a Skill-Assist to detect operation slip from a sequence of an operator's hand motion trajectory data represented using hidden Markov models (HMM). The method can also determine either safety- or productivity-oriented control policy throughout two-way interpretation of the belief structure. A workability improvement process that comprises a fault-warning (FW) safety-preservation (SP) space policy and teaching data renewal subprocesses allows for optimal reconstruction of the policy determinant observation space and HMMs. Some experimental results are shown to demonstrate the effectiveness of both the control policy determination and the workability improvement process.

Published in:

IEEE Robotics & Automation Magazine  (Volume:11 ,  Issue: 2 )