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
Sugar, Salt & Pepper -- Humanoid robotics for autism
Cristina Gena, Claudio Mattutino, Stefania Brighenti, Andrea Meirone, Francesco Petriglia, Loredana Mazzotta, Federica Liscio, Matteo Nazzario, Valeria Ricci, Camilla Quarato, Cesare Pecone, Giuseppe Piccinni
Autistic Children's Mental Model of an Humanoid Robot
Cristina Gena, Claudio Mattutino, Andrea Maieli, Elisabetta Miraglio, Giulia Ricciardiello, Rossana Damiano, Alessandro Mazzei
iCub3 Avatar System: Enabling Remote Fully-Immersive Embodiment of Humanoid Robots
Stefano Dafarra, Ugo Pattacini, Giulio Romualdi, Lorenzo Rapetti, Riccardo Grieco, Kourosh Darvish, Gianluca Milani, Enrico Valli, Ines Sorrentino, Paolo Maria Viceconte, Alessandro Scalzo, Silvio Traversaro, Carlotta Sartore, Mohamed Elobaid, Nuno Guedelha, Connor Herron, Alexander Leonessa, Francesco Draicchio, Giorgio Metta, Marco Maggiali, Daniele Pucci