Darren Chiu

University of Southern California, Southern California University for Professional Studies

Papers

Total Citations

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About

Darren Chiu is a rising researcher at the intersection of swarm robotics, imitation learning, and safety-critical autonomous systems. His work focuses on enabling multi-robot teams to perform complex inspection and decision-making tasks with enhanced reliability. In his most cited paper, "Optimization and Evaluation of a Multi Robot Surface Inspection Task Through Particle Swarm Optimization" (5 citations), Chiu pioneered the use of particle swarm optimization to coordinate robot swarms for automated surface inspection, demonstrating how groups of robots can collectively classify 2D surfaces in aerial, aquatic, and terrestrial environments. His second major contribution, "SAFE-GIL: SAFEty Guided Imitation Learning for Robotic Systems" (4 citations), addresses a critical gap in behavior cloning by introducing a safety-guided framework that prevents learned policies from causing dangerous errors in safety-critical applications. Additionally, his work on "Collective Bayesian Decision-Making in a Swarm of Miniaturized Robots for Surface Inspection" (3 citations) advances probabilistic reasoning in distributed robotic systems. With all three papers published in 2024-2025, Chiu is rapidly establishing himself as a key voice in safe, scalable multi-robot systems, combining theoretical rigor with practical deployment considerations for real-world inspection tasks.