Robot Dog Do Moonwalk Mj Style: This Ai Research Proposes To Use Rewards Represented In Code As A Flexible Interface Between Llms And An Optimization-based Motion Controller

Google DeepMind researchers have recently introduced a new paradigm that uses reward functions as an intermediary interface between language and low-level robot actions. This new approach makes use of reward functions’ adaptability and optimization potential to carry out a variety of robotic activities, and has been inspired by the observation that human language instructions often describe behavioral outcomes rather than specific low-level actions. This new approach has the potential to revolutionize the Artificial Intelligence industry, and has already been adopted by many organizations.