Bo Chen
Chinese Academy of Sciences
8 Papers
27 Citations
Bo Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Gesture recognition & Gesture. The author has an hindex of 3, co-authored 8 publications.
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Papers
Online control programming algorithm for human–robot interaction system with a novel real-time human gesture recognition method:
TL;DR: An online control programming algorithm for human–robot interaction systems, where robot actions are controlled by the recognition results of gestures performed by human operators based on visual images, is proposed and the effectiveness and efficiency of this method has been confirmed.
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Marine UAV–USV Marsupial Platform: System and Recovery Technic Verification
Hongda Zhang,Yuqing He,Decai Li,Gu Feng,Qi Li,Mingxi Zhang,Di Chunlei,Lingling Chu,Bo Chen,Yanming Hu +9 more
TL;DR: A novel fully autonomous recovery system, covering the entire process of recovery of small fixed-wing UAVs on mobile platforms at sea, and the foundation for practical applications of UAV–USV heterogeneous unmanned systems in the marine environment is presented.
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Development of an autonomous object transfer system by an unmanned aerial vehicle based on binocular vision
TL;DR: The development of an unmanned aerial vehicle system that had a remarkable performance in the 6th International Unmanned Aerial Vehicle Innovation Grand Prix, which was held on November 2–4, 2018, in Anji, China, is described.
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•Posted Content
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction
TL;DR: A Spatial and Causal Relationship based Graph Reasoning Network (SCR-Graph), which can be used to predict human actions by modeling the action-scene relationship, and causal relationship between actions, in spatial and temporal dimensions respectively is proposed.
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A Novel Real-Time Gesture Recognition Algorithm for Human-Robot Interaction on the UAV
Bo Chen,Chunsheng Hua,Jianda Han,Yuqing He +3 more
- 10 Jul 2017
TL;DR: This paper provides a new real-time gesture recognition technology for Unmanned Aerial Vehicle (UAV) Control that allows the users to on-line design and control the UAV to finish the abrupt urgent task with different gestures.
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