Alessandro Mosca

University of Applied Sciences and Arts of Southern Switzerland, European Organization for Nuclear Research

Papers

Total Citations

H-Index

About

Alessandro Mosca is a leading researcher in human-robot collaboration, with a focus on developing safe and efficient control systems for industrial and teleoperated environments. His most cited work, an advanced dual Active Power Filter (APF)-based controller, addresses the critical challenge of simultaneous collision and singularity avoidance in human-robot collaborative assembly processes, earning 11 citations since 2023. This contribution is pivotal for enabling robots to work alongside humans without compromising safety or productivity. Mosca also made notable contributions to teleoperation, co-authoring a training simulator for robots deployed at CERN, which has been cited 4 times. His research bridges theoretical control algorithms with practical applications in high-stakes settings like particle physics laboratories. By integrating real-time obstacle detection and path planning, Mosca’s work enhances the reliability and autonomy of robotic systems, directly impacting manufacturing and remote operations. His achievements underscore a commitment to advancing human-robot interaction, making him a key figure in the field of collaborative robotics.