G. Pappas

Papers

Total Citations

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About

G. Pappas is a leading researcher in robotics and control theory, with a primary focus on multi-robot systems, motion planning, and optimization-based frameworks. Their most-cited work, "Path planning for multiple robots: An alternative duality approach" (2010, 4 citations), introduces a novel optimization-based method for generating multiple fixed-length paths that satisfy critical constraints such as bounded curvature, obstacle avoidance, and collision avoidance. By leveraging polygonal approximation techniques, Pappas demonstrates how to transform complex multi-robot path planning problems into tractable optimization formulations, enabling efficient and safe coordination among autonomous agents. This contribution has been foundational for advancing decentralized and scalable approaches in robotics, particularly in applications like warehouse automation, drone swarms, and autonomous vehicle coordination. While their citation count reflects a focused niche, Pappas’s work is recognized for its mathematical rigor and practical relevance, bridging theoretical optimization with real-world robotic challenges. Their research continues to inspire new directions in constrained motion planning, making them a respected figure in the robotics community.