Humanoid Robot
Humanoid robots, aiming to replicate human form and function, are a focus of intense robotics research. Current efforts concentrate on improving locomotion across challenging terrains using reinforcement learning and transformer models, developing more efficient whole-body control methods (including those driven by neural signals or leveraging passive dynamics), and enhancing human-robot interaction through imitation learning and natural language processing. These advancements are significant for both the robotics community, pushing the boundaries of control algorithms and AI, and for practical applications in areas like assistive care, disaster response, and human-robot collaboration.
Papers
Aplicacion de Robots Humanoides como Guias Interactivos en Museos: Una Simulacion con el Robot NAO
Hiago Sodre, Pablo Moraes, Monica Rodriguez, Victor Castelli, Pamela Barboza, Martin Mattos, Guillermo Vivas, Bruna de Vargas, Tobias Dörnbach, Ricardo Grando
Toward the use of proxies for efficient learning manipulation and locomotion strategies on soft robots
Etienne Ménager, Quentin Peyron, Christian Duriez