Papers
32
Total Citations
594
H-Index
12
About
Shibo Cai is a leading researcher in robotics, with a focus on exoskeletons, soft robotics, and intelligent control systems. His seminal work, "Academic Review and Perspectives on Robotic Exoskeletons" (2019), has garnered 136 citations, establishing him as a key voice in the field. Cai's contributions span from robust adaptive fuzzy sliding mode control for serial manipulators (85 citations) to innovative solutions for agricultural and service robots, including a multi-template matching algorithm for cucumber recognition (47 citations) and a dust-absorbing structure for photovoltaic panel cleaning robots (84 citations). He has advanced soft robotics with designs like a trunk-like soft actuator and a pneumatic webbed gripper for unstructured grasping, demonstrating versatility in addressing real-world challenges. Notably, his recent work on a CNN-BiLSTM ensemble model for sit-to-stand phase identification (2024, 22 citations) highlights his impact on wearable exoskeleton control. With over 500 total citations, Cai's research bridges theory and application, making him a pivotal figure in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1Academic Review and Perspectives on Robotic Exoskeletons136 citations · 2019
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- 8Trunk-like Soft Actuator: Design, Modeling, and Experiments17 citations · 2019
- 9Pneumatic webbed soft gripper for unstructured grasping15 citations · 2021
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