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
Offline robot programming assisted by task demonstration: an AutomationML interoperable solution for glass adhesive application and welding
M. Babcinschi, F. Cruz, N. Duarte, S. Santos, S. Alves, P. Neto
Visuo-Tactile based Predictive Cross Modal Perception for Object Exploration in Robotics
Anirvan Dutta, Etienne Burdet, Mohsen Kaboli
SkinGrip: An Adaptive Soft Robotic Manipulator with Capacitive Sensing for Whole-Limb Bathing Assistance
Fukang Liu, Kavya Puthuveetil, Akhil Padmanabha, Karan Khokar, Zeynep Temel, Zackory Erickson
VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill Development
Achilleas Filippidis, Nikolaos Marmaras, Michael Maravgakis, Alexandra Plexousaki, Manos Kamarianakis, George Papagiannakis