Jindong Chang
Papers
2
Total Citations
14
H-Index
2
About
Jindong Chang is a leading researcher in multi-robot systems and human-robot collaboration, with a focus on safety-critical control and distributed optimization. His work addresses the fundamental challenge of enabling robots to work safely and effectively alongside humans, particularly in cooperative tasks involving multiple agents. Chang’s most-cited paper (2024, 11 citations) introduces a novel framework for safe human dual-robot interaction using Control Barrier Functions and cooperation functions, allowing robot teams to react compliantly to human presence while performing collaborative tasks. This work is pivotal for advancing human-in-the-loop control in industrial and service settings. His second notable contribution (2023, 3 citations) reframes collaborative object lifting with aerial robots as a distributed optimization problem, enabling each robot to independently compute its role in the task. This approach enhances scalability and efficiency in multi-robot transport. Though early in his career, Chang’s research is already shaping the future of safe, cooperative robotics, with clear implications for manufacturing, logistics, and human-robot teamwork.
Research Focus
Key Achievements
Top Papers
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- 2