By 2032, the projected $5 billion valuation of the robot sensor market will not only signify economic success but also mark a pivotal chapter in the evolution of robotics technology.

Making Artificial Intelligence systems robustly perceive humans remains one of the most intricate challenges in computer vision. Among the most complex problems is reconstructing 3D models of human hands, a task with wide-ranging applications in robotics, animation, human-computer interaction, and augmented and virtual reality. The difficulty lies in the nature of hands themselves, often obscured while holding objects or contorted into challenging orientations during tasks like grasping.

Claire chatted to Gianmarco Pisanelli from the the University of Sheffield Advanced Manufacturing Research Centre about how to promote the safe and intuitive use of robots in manufacturing.

Gianmarco Pisanelli specialises in early-stage technology readiness level (TRL) research, with a focus on collaborative workspaces, multi-robot systems, and robotic simulations. He possesses extensive experience in industrial robotics, including PLC programming and the development of intuitive robotic interfaces such as natural speech and augmented reality. As the lead developer for the Robot Operating System (ROS) at the University of Sheffield’s Advanced Manufacturing Research Centre (AMRC), he serves as the primary point of contact for SMEs and major partners.