ARES: Autonomous Race-Engineering Systems
ARES: In ARES (Autonomous Race-Engineering Systems), we explore robotics, perception, controls, AI-ML methods, and adversarial racing strategies to develop solutions to address a variety of multi-disciplinary problems in high-speed. Autonomous Racing (AR) with real world applications across multiple modes and platforms.
Advisor:
Description:
This VIP course serves as a testbed for advancing research and innovation in selfdriving technology through the study of Autonomous Racing Systems and its real world applications. In ARES, we explore the latest robotics, AI-ML methods, Race Theory and Engineering skills to develop solutions to address a variety of multi-disciplinary problems across multiple modes and platforms in Autonomous Racing (AR).
Areas of interest:
(a) controls, localization, path planning and navigation in high-speed AR environments, adversarial decision making, and safety-critical edge cases, and/or
(b) other aspects/applications of AR beyond the track, to include perspectives of road infrastructure design, human factors, economics, and other real-world contexts of AR systems.
Different Topics that can be explored on this course:
Cyber-Physical AI,
Deep Learning, Control Systems, High-speed autonomy, Multi-agent Adversarial Strategy and Decision-making, Overtaking, Sensor Fusion, ROS, Platform Optimization, Simulation (Digital Twin), Reinforcement Learning, Software Development, System Integration, Real-world Applications & Systems Analysis, Infrastructure Design, and the Economics and Business applications of AR Systems.
First year, sophomores, juniors and senior students are welcome to join. All majors
are welcome.
Application Platforms:
Full size racecars, Go Karts, Small-size road/track race cars, F1/10th, Boats, Submarine, Drones and Rally/Offroad.