2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2016
DOI: 10.1109/smc.2016.7844315
|View full text |Cite
|
Sign up to set email alerts
|

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
10
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(11 citation statements)
references
References 17 publications
1
10
0
Order By: Relevance
“…The 'alignment and insert'-task is rated as moderate based on the variability score. Similar findings can be found as a significant amount of research uses special insertion tasks in the field of control mechanism based on counterforce (see, for example, Zhao et al 2016). The final fastening task also suits a low level of automation because of the intricacy in avoiding a cross-threading scenario in automation.…”
Section: Automation Decision Supportsupporting
confidence: 80%
“…The 'alignment and insert'-task is rated as moderate based on the variability score. Similar findings can be found as a significant amount of research uses special insertion tasks in the field of control mechanism based on counterforce (see, for example, Zhao et al 2016). The final fastening task also suits a low level of automation because of the intricacy in avoiding a cross-threading scenario in automation.…”
Section: Automation Decision Supportsupporting
confidence: 80%
“…Machine learning Task demonstration Works rather on action than on process level Zhao et al (2016) Learning from demo Discrete Hierarchical task analysis (HTA)…”
Section: Continuousmentioning
confidence: 99%
“…Secondly, although the LM is up to sub-millimeter accuracy, it still cannot meet the requirements of a tight tolerant assembly task where the error is in micrometer range. Thirdly, the LM has a limited sensing range, and it cannot be applied to tasks with large workspace; finally, like other non-contact interaction methods, the lack of force feedback makes it difficult to be applied in compliant tasks, which are common in complex assembly processes [22,23].…”
Section: Introductionmentioning
confidence: 99%