Poom Pianpak

Papers

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About

Poom Pianpak is a researcher at the intersection of robotics, human-computer interaction, and multi-agent systems. His work is defined by two core thrusts: enabling seamless human-drone teaming through novel interfaces, and developing scalable, decentralized solutions for complex multi-agent coordination. In his most cited work, "Developing Future Wearable Interfaces for Human-Drone Teams through a Virtual Drone Search Game" (20 citations), Pianpak explores how wearable technology can bridge the gap between human intent and autonomous drone action, using a virtual search game as a testbed. This research has direct implications for search-and-rescue, surveillance, and collaborative robotics. On the algorithmic side, Pianpak is a key contributor to the field of Multi-Agent Path Finding (MAPF). His papers "A distributed solver for multi-agent path finding problems" (18 citations) and "DMAPF: A Decentralized and Distributed Solver for Multi-Agent Path Finding Problem with Obstacles" (6 citations) introduce the *ros-dmapf* framework. This work tackles a critical bottleneck in robotics: scaling path planning for many robots without a central controller. By prioritizing spatial distribution and decentralization, Pianpak’s solvers offer a practical, scalable alternative to traditional centralized algorithms, enabling more robust and flexible robot fleets in real-world environments.