Haoyi Song
Papers
1
Total Citations
4
H-Index
1
About
Haoyi Song is a rising researcher in the field of robotics, with a primary focus on multi-robot coordination, motion planning, and cooperative manipulation. His work addresses critical challenges in enabling teams of mobile manipulators to transport large or bulky objects safely and efficiently in cluttered environments. Song’s most notable contribution is his development of a novel semi-coupled hierarchical motion planning framework, which elegantly balances the computational demands of centralized planning with the flexibility of decentralized control. This framework, detailed in his 2025 paper, has already garnered 4 citations, signaling its early impact on the robotics community. By tackling the complexities of closed-chain constraints, robot redundancy, and obstacle avoidance, Song is helping to advance the practical deployment of cooperative robotic systems in logistics, manufacturing, and disaster response. His work stands out for its rigorous approach to a difficult real-world problem, and his growing citation record suggests that his contributions will continue to influence the design of intelligent, collaborative robotic teams.
Research Focus
Key Achievements
Top Papers
- 1