Robotic Arm
Robotic arms are being actively researched to enhance their capabilities in diverse applications, from industrial automation to assistive technologies and space exploration. Current research emphasizes improving control algorithms (e.g., model predictive control, reinforcement learning) and developing more adaptable designs, including hybrid mechanisms and soft robotics, to handle complex tasks and interact safely with humans and unstructured environments. These advancements are driving progress in areas like human-robot collaboration, deformable object manipulation, and precise control for applications such as surgery and assistive robotics, ultimately impacting various fields through increased efficiency and improved human-machine interaction.
Papers
Task-Oriented Cross-System Design for Timely and Accurate Modeling in the Metaverse
Zhen Meng, Kan Chen, Yufeng Diao, Changyang She, Guodong Zhao, Muhammad Ali Imran, Branka Vucetic
Grabbing power line conductors based on the measurements of the magnetic field strength
Goran Vasiljevic, Dean Martinovic, Matko Orsag, Stjepan Bogdan