Papers
3
Total Citations
16
H-Index
2
About
Haoyun Chen is a robotics researcher whose work bridges bio-inspired design, autonomous navigation, and perception for mobile and continuum robots. His key research areas include social robot navigation, soft robotics, and miniature jumping robots. Chen’s most impactful contribution is his work on social crowd navigation, where he developed a mobile robot system that integrates human trajectory prediction with hybrid sensing to enable safe and efficient movement in crowded environments—a paper that has garnered 11 citations and addresses a critical challenge for real-world human-robot interaction. He has also made notable advances in soft robotics with the design of a bio-inspired, stiffness-controllable continuum robot modeled after an elephant’s trunk, which overcomes the trade-off between flexibility and rigidity for object grasping and manipulation. Additionally, Chen has explored autonomous stair climbing for miniature jumping robots, proposing obstacle detection methods that enhance their ability to navigate unstructured environments despite limited sensing and computing resources. His work demonstrates a consistent focus on enabling robots to operate autonomously in complex, real-world settings, from social spaces to challenging terrain.
Research Focus
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Top Papers
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