Papers
47
Total Citations
1,418
H-Index
21
About
Jindong Liu is a versatile robotics researcher whose work spans biomimetic systems, surgical robotics, and rehabilitation technology. Best known for his pioneering contributions to underwater robotics, Liu has made foundational advances in robotic fish design, developing 3D swimming patterns and simulation frameworks as early as 2004–2006 that helped define the field of bio-inspired aquatic robotics. His 2015 work deploying schools of robotic fish for coastal mariculture monitoring demonstrated real-world environmental applications of these systems, while his highly cited 2021 review of snake robots in constrained environments (164 citations) cemented his authority in biomimetic locomotion research. Liu's expertise extends compellingly into medical robotics, where he has contributed to learning-based endovascular navigation for robotic catheterization, a single-port surgical platform for transanal microsurgery, and self-adaptive motion scaling for surgical teleoperation — work with profound implications for minimally invasive surgery. He has also explored bio-inspired electrocommunication for underwater robots and binaural sound localization for speech recognition, reflecting a broad commitment to nature-inspired engineering. Rounding out his portfolio with wearable robotics for upper-limb rehabilitation, Liu's cumulative citation record of over 800 underscores his sustained, cross-disciplinary impact on modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Review of snake robots in constrained environments164 citations · 2021
- 2Design of 3D Swim Patterns for Autonomous Robotic Fish126 citations · 2006
- 3A School of Robotic Fish for Mariculture Monitoring in the Sea Coast81 citations · 2015
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- 6A 3D simulator for autonomous robotic fish71 citations · 2004
- 7A bio-inspired electrocommunication system for small underwater robots57 citations · 2017
- 8A Self-Adaptive Motion Scaling Framework for Surgical Robot Remote Control53 citations · 2018
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- 10Wearable Robotics for Upper-Limb Rehabilitation and Assistance51 citations · 2018