Kota Kondo

Kota Kondo is a PhD candidate in aeronautics and astronautics whose research is focused on autonomous multi-agent trajectory planning for unmanned aerial vehicles (UAVs). As a MathWorks Fellow, Kota will expand his innovative work to develop planners capable of supporting complex missions that demand intricate coordination between multiple agents. His achievements include major contributions to RMADER, a multi-agent trajectory planner that generates collision-free trajectories even when communications between agents are delayed. Kota was also centrally involved in the creation of PUMA, a multi-agent trajectory planner that addresses uncertainties around known obstacles and their directions of motion. In addition, he has contributed to REAL, an adaptive model leveraging large language models for UAV control; to SOS-Match, a system for detecting and matching objects in unstructured environments; and to an innovative approach leveraging diffusion models for constraint-satisfied trajectory planning for UAVs. MATLAB plays a crucial role in all of these research threads. Kota’s pathbreaking work has the potential to advance safe and reliable UAV technologies for a wide variety of applications, from package delivery to surveillance and rescue.