Papers
12
Total Citations
113
H-Index
4
About
Dr. Chaochen Gu is a pioneering roboticist whose research spans soft robotics, intelligent control, and autonomous manipulation. His seminal work on shape memory alloy (SMA) actuators—including the development of planar and spatial bending embedded SMA actuators—laid the foundation for lifelike, multi-fingered humanoid hands capable of smooth anthropomorphic grasping. This early innovation, detailed in his most-cited paper (51 citations), demonstrated active robot fingers just 10mm in diameter, enabling fine manipulation previously unattainable with rigid mechanisms. Dr. Gu has since advanced robot autonomy through deep reinforcement learning, proposing an improved Double DQN algorithm for complex path planning (19 citations) and automatic curriculum generation via hierarchical RL. His contributions to industrial robotics include high-order S-curve trajectory generation for smooth motion (15 citations) and adaptive variable impedance control for precise force tracking. Dr. Gu also addresses practical challenges in perception, developing domain adaptation methods for viewpoint estimation and multi-level feature fusion networks for RGBD semantic segmentation. With over 100 cumulative citations and recent work on residual vibration reduction in flexible systems, Dr. Gu continues to bridge soft actuation and intelligent control, shaping the future of dexterous, autonomous robots.
Research Focus
Key Achievements
Top Papers
- 1A novel robot hand with embedded shape memory alloy actuators51 citations · 2002
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- 4Domain Adaptation for Viewpoint Estimation with Image Generation6 citations · 2021
- 5Research on novel shape memory alloy multi-fingered humanoid hand4 citations · 2007
- 6Improved Adaptive Variable Impedance Control for Contact Force Tracking3 citations · 2023
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- 9Automatic Curriculum Generation by Hierarchical Reinforcement Learning3 citations · 2020
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