Papers
73
Total Citations
1,206
H-Index
15
About
Houde Liu is a prominent robotics researcher whose work spans soft robotics, tactile sensing, human-robot interaction, and space robotics. His most influential contributions focus on advancing perception and sensing capabilities in robotic systems, particularly for soft robots and grippers operating in unstructured environments. His highly cited reviews on tactile sensing for soft grippers (224 citations) and flexible sensing technologies for soft robots (144 citations) have become essential references in the field, synthesizing cutting-edge developments in sensor integration and biomimetic design. Liu has also made significant contributions to underwater soft robotics (98 citations) and elderly-care robot safety (65 citations), reflecting a broad commitment to socially impactful applications. His technical depth is evident in earlier works addressing 6D pose estimation for bin-picking using the novel PPR-Net architecture (69 citations), singularity-free space robot trajectory planning (57 citations), and non-cooperative spacecraft pose measurement using stereo vision. More recently, his visual-tactile fusion framework for grasping transparent objects demonstrates his innovative approach to multimodal perception. Collectively, Liu's research portfolio reveals a researcher dedicated to making robots safer, smarter, and more capable across terrestrial, aquatic, and orbital domains.
Research Focus
Key Achievements
Top Papers
- 1Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers224 citations · 2023
- 2Advanced Flexible Sensing Technologies for Soft Robots144 citations · 2024
- 3Recent Advances on Underwater Soft Robots98 citations · 2023
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- 6Visual–Tactile Fusion for Transparent Object Grasping in Complex Backgrounds64 citations · 2023
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- 8Force-free control for the flexible-joint robot in human-robot interaction26 citations · 2018
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