Max Robotics — Global Service Robot Directory + US Certification

About

Hyoseung Kim is a leading researcher in real-time and embedded systems, with a core focus on enhancing the timing predictability and safety of robotic platforms, particularly those built on the Robot Operating System (ROS 2). His major contributions lie in developing novel scheduling and resource management frameworks that bridge the gap between general-purpose robotics and safety-critical applications. Kim’s seminal work, "PiCAS," introduced a priority-driven, chain-aware scheduling design for ROS 2, addressing the critical challenge of guaranteeing timing correctness in callback chains—a foundational contribution that has garnered over 80 citations. He further advanced this field with a comprehensive timing analysis and priority-driven enhancements for multi-threaded executors, demonstrating how to provide strong timing guarantees in complex, concurrent robotic systems. Beyond scheduling, Kim has pioneered on-device real-time deep reinforcement learning (R³) for autonomous robotics, enabling efficient, continuous model adaptation in dynamic environments. His most recent work, the PAAM framework, tackles the emerging challenge of predictable accelerator (e.g., GPU) management in ROS 2, ensuring coordinated access for time-sensitive callback chains. With a growing citation impact and a clear trajectory of solving real-world timing problems, Kim’s research is essential reading for anyone working on the intersection of real-time systems, robotics, and autonomous vehicles.