Robot Design

Robot design research focuses on creating robots optimized for specific tasks, encompassing both physical morphology and control algorithms. Current efforts concentrate on co-optimizing robot design and control using techniques like evolutionary algorithms, Bayesian optimization, and differentiable programming, often incorporating machine learning models for improved adaptability and efficiency. These advancements are significant for improving robot performance across diverse applications, from manufacturing and food production to assistive technologies and space exploration, while also addressing challenges in human-robot interaction and robustness.