Papers
4
Total Citations
12
H-Index
3
About
Haojie Chen’s research spans robotics, autonomous systems, and medical engineering, with a focus on enhancing automation in both industrial and life-saving contexts. A key contribution is advancing flexible manufacturing through the integration of PDDL and Behavior Trees, demonstrated in the ARIAC 2023 competition—work that directly addresses agility challenges in dynamic factory environments. Chen also developed a hybrid motion planning algorithm for multi-mobile robot formations, enabling leader–follower teams to adjust size and orientation in 3D space for collision-free navigation. In the medical domain, Chen conducted a comparative study on robot-assisted cortical bone trajectory screw fixation for lumbar degenerative disease with osteoporosis, evaluating safety and accuracy against manual techniques. Further impact comes from underwater robotics research, where a Bottleneck Transformer and Feature Pyramid Network were applied to detect drowning people, improving emergency rescue operations. Across these diverse fields, Chen’s publications have each garnered 3 citations, reflecting early but meaningful recognition. This body of work demonstrates a commitment to bridging theoretical algorithms with real-world robotic applications—from factory floors to operating rooms and open waters.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4