#embedded-ai

#embedded-ai

Design and implement custom machine learning architectures for vision-based navigation and control. Develop and optimize real-time perception systems using CNNs, transformers, or event-based vision. Apply deep reinforcement learning and MPC to guide autonomous behaviors in dynamic environments. Architect robust sensor fusion pipelines with IMUs, event cameras, lidar, radar, and visual odometry. Build, train, and evaluate ML models in simulation and deploy them to embedded hardware.