Papers
22
Total Citations
251
H-Index
8
About
Qiuxuan Wu is a leading researcher in soft robotics and bio-inspired locomotion, with a focus on creating robots that seamlessly integrate with natural environments. Their work centers on embodied intelligence, where physical form and control systems work in concert to achieve adaptive, efficient behaviors. Wu’s most impactful contribution is the development of an underwater bipedal walking soft robot inspired by the coconut octopus, which uses a spring-loaded inverted pendulum model for agile, compliant movement—a paper that has garnered 56 citations. They have also advanced the field through a highly cited review on embodied intelligence in soft robotics (44 citations) and pioneered the use of deep reinforcement learning for position control of cable-driven soft arms (36 citations). Wu’s research extends to integrated modeling of biped wheel-legged robots and biomimetic designs that combine swimming, walking, and grasping in a single platform. Their work on SLAM for substation inspection robots demonstrates a commitment to practical applications. With over 200 total citations, Wu is shaping the future of robots that move, adapt, and interact with the world as naturally as living organisms.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploring Embodied Intelligence in Soft Robotics: A Review44 citations · 2024
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- 5Integrated Modeling and Control Optimization of Biped Wheel-Legged Robot13 citations · 2024
- 6An Underwater Biomimetic Robot that can Swim, Bipedal Walk and Grasp12 citations · 2024
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- 9Design and Modeling of Omni-directional Bending Pneumatic Flexible Arm6 citations · 2018
- 10Research on Motion Evolution of Soft Robot Based on VoxCAD6 citations · 2019