Papers
4
Total Citations
59
H-Index
3
About
Jihao Huang is a rising researcher in robotics, specializing in safety-critical control and collision avoidance for multi-robot and mobile robot systems. His work focuses on integrating velocity obstacle methods with control barrier functions (CBFs) to enable real-time, scalable, and dynamic obstacle avoidance for unicycle-modeled and acceleration-controlled robots. Huang’s major contributions include developing time-varying CBFs that allow simultaneous control of linear and angular velocities, addressing the challenge of control inputs not appearing in constraint functions—a key limitation in prior approaches. His 2023 paper on polytopic collision avoidance for distributed multi-robot systems, which has garnered 36 citations, introduces a novel velocity obstacle framework that overcomes scalability issues in convex optimization-based methods. Additionally, his 2025 work on velocity obstacle-based CBFs for acceleration-controlled robots provides a robust solution for dynamic environments, earning 8 citations. Huang’s research also extends to whole-body collision avoidance using Robo-centric Euclidean Signed Distance Fields, demonstrating his versatility in tackling complex, real-world robotic navigation challenges. With a growing citation impact, Huang is establishing himself as a key contributor to the field of autonomous robot safety and motion planning.
Research Focus
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Top Papers
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