Papers
27
Total Citations
262
H-Index
9
About
Zhenli Lu is a pioneering researcher in bio-inspired robotics, with a primary focus on snake-like robot locomotion and control systems. His most influential work centers on the application of Central Pattern Generator (CPG) models—particularly the cyclic inhibitory CPG—to achieve serpentine and 3D locomotion in snake-like robots, as demonstrated in his highly cited 2005 and 2006 papers (52 and 37 citations, respectively). Lu’s contributions extend to modular and hyper-redundant robot design, where he developed novel link-type shape-shifting robots capable of navigating unstructured environments. He has also advanced human-robot interaction through Kinect-based motion capture for reproducing human arm movements and explored cost-effective rehabilitation platforms using IoT and robotics. His work on smartphone-controlled robot snakes for urban search and rescue highlights his commitment to practical, deployable solutions. With over 200 total citations across his publications, Lu’s research has significantly influenced the fields of biomimetic robotics, CPG-based control, and manipulation. His innovative integration of musical theory into robot control further showcases his interdisciplinary approach, making him a notable figure in robotics research.
Research Focus
Key Achievements
Top Papers
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- 4A brief survey of commercial robotic arms for research on manipulation17 citations · 2012
- 5Design of a snake-like robot controller with cyclic inhibitory CPG model17 citations · 2005
- 6Reproduction of human arm movements using Kinect-based motion capture data14 citations · 2013
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- 8Gaits-transferable CPG controller for a snake-like robot11 citations · 2008
- 9Smartphone-Controlled Robot Snake for Urban Search and Rescue10 citations · 2014
- 10Serpentine locomotion of a snake-like robot controlled by musical theory8 citations · 2005