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
Virtually turning robotic manipulators into worn devices: opening new horizons for wearable assistive robotics
Alexis Poignant, Nathanael Jarrasse, Guillaume Morel
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System
Luca Marchionna, Giulio Pugliese, Mauro Martini, Simone Angarano, Francesco Salvetti, Marcello Chiaberge