Papers
2
Total Citations
21
H-Index
2
About
Huanjun Zhao is a pioneering researcher at the intersection of robotics, artificial intelligence, and performing arts. His primary research areas include decentralized multi-robot systems, deep reinforcement learning for collision avoidance, and human-robot interaction through artistic expression. Zhao’s most impactful contribution is his 2021 paper on non-communication decentralized multi-robot collision avoidance using Double Deep Q-Networks, which has garnered 17 citations. This work introduces a novel method that enables robots to navigate complex grid map workspaces without inter-robot communication, directly processing Lidar signals to avoid collisions—a breakthrough for scalable, large-scale multi-robot systems. By eliminating the need for communication, Zhao’s approach enhances robustness and efficiency in dynamic environments. More recently, his 2025 paper “Playing with Robots” explores the use of performing arts techniques to design and understand robot group movement, bridging engineering and creativity. This interdisciplinary work, with 4 citations, demonstrates Zhao’s unique ability to merge technical rigor with artistic insight, offering new perspectives on robot coordination and human-robot interaction. His contributions are shaping the future of autonomous robotics and collaborative human-robot systems.
Research Focus
Key Achievements
Top Papers
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