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
Exploring of Discrete and Continuous Input Control for AI-enhanced Assistive Robotic Arms
Max Pascher, Kevin Zinta, Jens Gerken
A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm
Nathaniel Dennler, Amelia Cain, Erica De Guzman, Claudia Chiu, Carolee J. Winstein, Stefanos Nikolaidis, Maja J. Matarić