Robotic Applications
Robotic Applications is a scholarly contribution in the field of robotics that specifically involves the integration and utilization of shape memory alloy actuators to enable or enhance robotic functionalities such as motion control, actuation precision, or adaptive behavior in autonomous systems.
1.3K
Publications
61.4K
Citations
4.2K
Authors
1.1K
Institutions
Publications per year
2017–2026
578
Parents
1.3K
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
Shixiang Gu, Ethan Holly, Timothy Lillicrap et al. · 2017 · 1.5K citations
Angela Dai, Matthias Nießner, Michael Zollhöfer et al. · ACM Transactions on Graphics · 2017 · 680 citations
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu · 2019 · 571 citations · Full text
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1.1K
Massachusetts Institute of Technology
Cambridge, United States
22 h-index
57 publications
7.3K citations
Sungkyunkwan University
Seoul, South Korea
18 h-index
111 publications
4.7K citations
Stanford University
Stanford, United States
17 h-index
38 publications
4K citations
ETH Zurich
Zurich, Switzerland
17 h-index
106 publications
4K citations
Carnegie Mellon University
Pittsburgh, United States
16 h-index
56 publications
3.1K citations
Technical University of Munich
Munich, Germany
15 h-index
54 publications
2K citations

Italian Institute of Technology
Genoa, Italy
15 h-index
55 publications
1.5K citations
Georgia Institute of Technology
Atlanta, United States
14 h-index
37 publications
1.4K citations
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43 publications · 2.3K citations
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24 publications · 1.8K citations
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23 publications · 1.2K citations
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19 publications · 1.5K citations
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IJRR · 17 publications · 2.4K citations
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