Autonomous systems such as robots, drones, and autonomous vehicles are increasingly becoming a common element of human society. However, how to make autonomous systems more intelligent, more efficient, safer, and better aligned with human values remains to be a big challenge. The MIT Schwarzman College of Computing invests in new artificial intelligence, data science, and computer science research to advance the state of the art in autonomous systems. The 2023 MIT AI and Autonomy Conference will showcase the most recent developments in areas including networked robotics, human level perception, reinforcement learning, and computational cognitive science. Presented by the MIT Schwarzman College of Computing and the MIT Industrial Liaison Program, you will hear insights from MIT faculty, MIT Startup Exchange entrepreneurs, and industry executives from presentations, lightning talks, exhibitions, and a panel discussion.
Startup Lightning Talks, featuring Humatics, Vecna, Woobo, Hydroswarm, Franklin Robotics, GeoScout, Flight Infinity
Understanding current state-of-the-art and anticipating major advances for autonomous systems, either in product development or on the manufacturing floor, is critical for many industries. The conference has three major themes: * Autonomous vehicles (land, air, and sea) * Autonomous manufacturing * Platforms for autonomous systems – connectivity, infrastructure, and socio-economic implications of autonomy and policies
Meter: Next-generation volumetric imaging for manufacturing inspection Realtime Robotics: Autonomous Motion Planning and Spatial Perception for Industrial Automation Akasha Imaging: "See it, Build it!" Perception Solutions for Manufacturing Eureka Robotics: Enabling High Accuracy – High Agility automation