Papers
134
Total Citations
2,169
H-Index
24
About
Jianda Han is a distinguished robotics and human-machine interface researcher whose work spans autonomous robotic systems, aerial manipulation, and neural signal processing. His foundational 2016 survey on robot 3D path planning (321 citations) established him as a leading authority on collision-free navigation and kinematic constraints, becoming an essential reference for roboticists worldwide. Han has been particularly instrumental in advancing aerial manipulator systems — robotic platforms combining UAVs with robotic arms — contributing both theoretical modeling frameworks and practical demonstrations, including the impressive feat of grasping moving targets from airborne platforms. His early work on contact transition control and force feedback (2000) laid important groundwork for safe robot-environment interaction. Equally notable is Han's contribution to brain-machine interfaces and prosthetics: his research applying Riemannian geometry and EMG pattern recognition to decode motor imagery EEG signals and estimate continuous joint movements has meaningfully advanced rehabilitation robotics and neuroprosthetic control. His involvement in the DAV humanoid platform at Michigan State University further demonstrates the breadth of his systems-level thinking. With over 700 cumulative citations across diverse domains, Han's career reflects a rare combination of theoretical rigor and engineering innovation that continues to shape modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Survey of Robot 3D Path Planning Algorithms321 citations · 2016
- 2Survey on Aerial Manipulator: System, Modeling, and Control102 citations · 2019
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- 7Rotor‐Flying Manipulator: Modeling, Analysis, and Control47 citations · 2014
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- 10Dav: a humanoid robot platform for autonomous mental development40 citations · 2003