Multi-modal Demonstration Learning
Multi-Modal Demonstration Learning is a learning framework within the domain of Learning from Demonstration that integrates multiple sensory or data modalities—such as visual, auditory, tactile, or kinesthetic signals—to capture, represent, and generalize demonstrated behaviors more robustly than unimodal approaches.
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Publications
220
Citations
13
Authors
5
Institutions
Publications per year
2017–2026
2
Parents
3
ExpertAF: Expert Actionable Feedback from Video
Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos et al. · 2025 · 12 citations
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Georgetown University
Washington, United States
1 h-index
2 publications
338 citations
University of Washington
Seattle, United States
1 h-index
3 publications
507 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
1 publications
20 citations
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
Lisbon, Portugal
1 h-index
3 publications
60 citations
Binghamton University
Binghamton, United States
1 h-index
2 publications
338 citations

Fairchild Semiconductor (United States)
Sunnyvale, United States
1 publications
12 citations
The University of Texas at Austin
Austin, United States
1 publications
12 citations
Stanford University
Stanford, United States
1 publications
21 citations
1–8 of 5
Conference · 1 publications · 20 citations
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Repository · 1 publications · 31 citations
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1 publications · 169 citations
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