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About

Eris Chinellato is a robotics researcher whose work spans autonomous systems, robotic grasping, human-robot interaction, and cognitive neuroscience-inspired robotics. He has made foundational contributions to vision-based grasping, developing quality measures and experience-driven reliability assessments that enable robots to intelligently manipulate previously unknown objects — work that has accumulated over 160 citations across his early publications alone. Chinellato's research into peripersonal space representation draws inspiration from primate neuroscience, producing biologically plausible frameworks that allow humanoid robots to coordinate gaze and reach within their immediate environment. His book *The Visual Neuroscience of Robotic Grasping* (2015) synthesizes these themes into a broader theoretical contribution to the field. His collaborative work on human-robot interaction has been particularly influential, including a widely cited 2012 study demonstrating that humans cognitively co-represent robotic actions much as they do those of other humans — a finding with profound implications for social robotics. He also contributed to the STRANDS Project (196 citations), a landmark initiative advancing long-term robot autonomy in real-world environments. With a body of work bridging neuroscience, cognition, and engineering, Chinellato offers students a rare interdisciplinary perspective on how robots can perceive, act, and interact more like humans.