Papers
10
Total Citations
114
H-Index
6
About
Caiming Sun is a leading researcher in the field of legged robotics, with a primary focus on energy-efficient locomotion, dynamic control, and bionic design for quadruped robots. His major contributions center on developing torque estimation methods for gear-driven systems, enabling dynamic and compliant control without the need for torque sensors—a breakthrough that enhances robot agility and robustness. Sun has also pioneered strategies for foothold selection and swing leg trajectory planning using convolutional neural networks, significantly improving locomotion efficiency on rough terrains. His work on the high-payload quadruped robot "Pegasus," inspired by canine anatomy, demonstrates the integration of bionics with robust control. With over 100 citations across his most-cited papers, including seminal works on joint torque estimation (25 citations) and energy-efficient locomotion (15 citations each), Sun’s research has practical implications for security, rescue, and exploration missions. His achievements include advancing quadruped robot design for narrow passages and challenging terrains, making him a key figure in the evolution of autonomous legged systems.
Research Focus
Key Achievements
Top Papers
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- 6Locomotion planning for quadruped robot over rough terrain11 citations · 2017
- 7Single leg compliance control for quadruped robots6 citations · 2017
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