Robotics Domain
Robotics research currently focuses on enhancing robot autonomy, safety, and dexterity, particularly in unstructured environments. Key areas include developing robust control algorithms (like Model Predictive Control and reinforcement learning), improving perception through advanced sensor fusion and generative models, and creating more efficient and adaptable robot designs. These advancements are driving progress in diverse applications such as agriculture, healthcare, and manufacturing, ultimately aiming to create more capable and reliable robots for a wider range of tasks.
Papers
Logic-Based Ethical Planning
Umberto Grandi, Emiliano Lorini, Timothy Parker, Rachid Alami
Active Inference for Robotic Manipulation
Tim Schneider, Boris Belousov, Hany Abdulsamad, Jan Peters
Design and Simulation of an Autonomous Quantum Flying Robot Vehicle: An IBM Quantum Experience
Sudev Pradhan, Anshuman Padhi, Bikash Kumar Behera