Papers
8
Total Citations
172
H-Index
5
About
Chenghua Lu is a leading researcher at the frontier of soft robotics, specializing in the design of dexterous, bio-inspired grippers and manipulators that bridge the gap between compliance and precision. His major contributions center on developing soft-rigid hybrid systems that combine the safety of soft actuators with the structural integrity needed for controlled, in-hand manipulation. Notably, his 2022 work on a hybrid gripper with lateral compliance (78 citations) established a foundational approach to achieving dexterous grasping without sacrificing adaptability. Lu’s research is profoundly inspired by biological systems, as demonstrated in his 2025 study on octopus-inspired hierarchical suction intelligence (39 citations), which models neuromuscular control to enhance robotic dexterity. He has also advanced tactile sensing with the DexiTac gripper (2024, 19 citations), enabling reconfigurable pneumatic fingers to handle irregular objects, and authored a comprehensive review of vision-based tactile sensors (2025). His work extends to underwater robotics, where his 2023 soft manipulator with planar actuators achieved accurate position control (9 citations). With a growing portfolio of highly cited papers, Lu is shaping the next generation of soft, intelligent robotic hands for real-world manipulation tasks.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3DexiTac: Soft Dexterous Tactile Gripping19 citations · 2024
- 4Impedance estimation for robot contact with uncalibrated environments16 citations · 2021
- 5
- 6Classification of Vision-Based Tactile Sensors: A Review5 citations · 2025
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- 8