3rd Workshop on MAD-Games: Multi-Agent Dynamic Games
The 3rd MAD-Games workshop at ACC 2026 aims to explore the latest advances in using game-theoretic and multi-agent control and learning approaches to help autonomous agents achieve safe interactions in highly dynamic environments.

27th Roboracer Autonomous Racing Competition at the International Conference on Robotics and Automation (ICRA 2026)
The teams participating in 27TH Roboracer Racing Competition at ICRA 2026 will build a 1:10 scaled autonomous race car according to a given specification and write software for it to fulfill the objectives for the competition: Don't crash and minimize laptime.

28th Roboracer Autonomous Racing Competition at the IEEE Intelligent Vehicles Symposium (IV 2026)
The teams participating in 28TH Roboracer Racing Competition at ICRA 2026 will build a 1:10 scaled autonomous race car according to a given specification and write software for it to fulfill the objectives for the competition: Don't crash and minimize laptime.

29th Roboracer Autonomous Racing Competition at the International Federation of Automatic Control (IFAC 2026)
The teams participating in 29th Roboracer Autonomous Racing Competition at IFAC 2026 will build a 1:10 scaled autonomous race car according to a given specification and write software for it to fulfill the objectives for the competition.

30th Roboracer Autonomous Racing Competition at the IEEE Vehicular Technology Conference (VTC 2026)
The 2026 IEEE 104th Vehicular Technology Conference: VTC2026-Fall will be held in Boston, MA, USA, 6 - 9 September, 2026. This semi-annual flagship conference of IEEE Vehicular Technology Society will bring together individuals from academia, government, and industry to discuss and exchange ideas in the fields of wireless, mobile, and vehicular technology.

2nd Workshop on MAD-Games: Multi-Agent Dynamic Games
The MAD-Games Multi-Agent Dynamic Games workshop at IROS aims to explore the latest advances in using game-theoretic and multi-agent learning approaches to help performant autonomous agents understand safe interaction with diverse competitive strategies.

1st Workshop on MAD-Games: Multi-Agent Dynamic Games
The MAD-Games Multi-Agent Dynamic Games workshop at IROS aims to explore the latest advances in using game-theoretic and multi-agent learning approaches to help performant autonomous agents understand safe interaction with diverse competitive strategies.