Yabin Wang
Papers
3
Total Citations
42
H-Index
3
About
Yabin Wang is a leading researcher in multi-robot coordination and intelligent assistive robotics, with a focus on energy efficiency, task allocation, and human-robot interaction. His major contributions include developing novel frameworks for multi-robot task allocation under time window and precedence constraints, addressing critical challenges in warehouse automation and industrial logistics. His 2023 paper on energy-efficient multi-robot task allocation has garnered 26 citations, reflecting its impact on optimizing robotic fleet operations. Wang also pioneered a token-based deep reinforcement learning approach for heterogeneous vehicle routing problems with service time constraints, advancing dynamic scheduling in complex environments. Additionally, his work on a multifunctional elderly-assistant and walking-assistant robot—capable of transitioning between wheelchair and smart cane modes—demonstrates his commitment to socially impactful robotics, particularly in fall prevention for the elderly. Through these contributions, Wang bridges theoretical optimization with practical deployment, earning recognition for enhancing both industrial productivity and quality of life for aging populations.
Research Focus
Key Achievements
Top Papers
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