Human Intent Recognition
Human Intent Recognition is a computational framework within the domain of robot compliance that enables a robotic system to discern and interpret the underlying goals or objectives of human actions through observable behaviors, distinguishing it from related perceptual or reactive mechanisms by its focus on inferring unobservable cognitive intentions.
179
Publications
8.5K
Citations
596
Authors
222
Institutions
Publications per year
2017–2026
97
Parents
179
The development of vehicle stability control at Ford
H. Eric Tseng, B. Ashrafi, D.P. Madau et al. · IEEE/ASME Transactions on Mechatronics · 1999 · 219 citations
Engineering, Automotive Engineering, Systems Engineering +14
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Shirley Ryan AbilityLab
Chicago, United States
12 h-index
32 publications
3.5K citations
Northwestern University
Evanston, United States
9 h-index
19 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
22 publications
587 citations
University of Michigan
Ann Arbor, United States
5 h-index
10 publications
438 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
14 publications
558 citations
University of Rhode Island
Kingston, United States
5 h-index
16 publications
612 citations
Kyungpook National University
Daegu, South Korea
4 h-index
14 publications
314 citations
University of Nevada, Reno
Reno, United States
4 h-index
24 publications
1.5K citations
1–8 of 222
6 publications · 627 citations
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4 publications · 110 citations
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4 publications · 107 citations
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Conference · 3 publications · 94 citations
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3 publications · 82 citations
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