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About

Irving Solis is a rising researcher in multi-robot systems, whose work tackles the fundamental challenge of coordinating multiple robots in complex, real-world environments. His primary research areas include multi-robot motion planning (MRMP), multi-agent pathfinding (MAPF), and kinodynamic planning. Solis’s major contribution is the development of the Adaptive Robot Coordination (ARC) framework, a novel hybrid approach that resolves inter-robot conflicts by creating and solving local subproblems. This method significantly improves computational efficiency, achieving up to an order of magnitude speed-up compared to prior techniques. His 2024 paper on ARC has already garnered 8 citations, while his earlier foundational work on representation-optimal planning using Conflict-Based Search (CBS) has received 6 citations. Solis’s 2025 extension, K-ARC, further advances the field by enabling kinodynamic planning for up to 32 planar mobile robots, demonstrating scalability and practical applicability. His research bridges the gap between theoretical optimality and real-world feasibility, making him a notable figure in the robotics community.