Bailin Cao
Papers
5
Total Citations
70
H-Index
4
About
Bailin Cao is a robotics researcher whose work has focused primarily on multi-robot coordination, path planning, and motion optimization for industrial robotic systems. Over the course of the late 1990s and early 2000s, Cao made significant contributions to solving some of the most computationally challenging problems in industrial automation, particularly those involving cooperative dual-arm robot systems. Cao's most influential work addresses near time-optimal inspection task-sequence planning for two cooperative industrial robot arms, which has garnered 25 citations and remains a foundational reference for researchers tackling multi-robot scheduling problems. His 1996 paper on time-optimal, smooth, and collision-free path planning (18 citations) introduced an integrated approach combining trajectory generation with path planning, offering a practical framework still relevant to modern robotics research. His work on redundancy resolution and obstacle avoidance (16 citations) further advanced the field by introducing relative Jacobian methods for managing complex joint-space constraints. Beyond optimization, Cao demonstrated forward-thinking versatility by exploring virtual reality interfaces for robot programming and teleoperation. Together, his contributions reflect a career dedicated to bridging theoretical optimization techniques with real-world industrial robotic applications, establishing him as a notable contributor to collaborative robotics research.
Research Focus
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Top Papers
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