Job Description
· Design and implement advanced control algorithms (e.g., PID, adaptive control, model predictive control) tailored for autonomous robotic platforms.
· Optimize motion planning and path control strategies to enhance multi-robot coordination and operational efficiency.
· Develop real-time control architectures that leverage edge computing for low-latency decision-making.
· Integrate adaptive learning techniques to continuously refine control performance, particularly for dynamic systems.
· Develop and test control algorithms in both simulation and real-world experiments, utilizing aerial simulation tools (e.g., PX4 SITL, AirSim) when applicable.
· Collaborate with interdisciplinary teams to integrate control systems with AI, sensor fusion, an...