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About

Cecilia Scoccia is a robotics researcher whose work sits at the intersection of motion planning, collaborative robotics, and human-centered design. Her most significant contributions focus on developing sophisticated obstacle avoidance algorithms for redundant manipulators — systems capable of dynamically rerouting robot trajectories in real time to prevent collisions with humans or objects in shared workspaces. Her 2021 paper on motion planning for redundant manipulators has garnered 44 citations, reflecting strong community interest in her frameworks for extending planar collision avoidance techniques to full-mobility robotic systems. Beyond pure control theory, Scoccia has distinguished herself by addressing the human dimensions of robot deployment. Her research on physical ergonomics in human-robot collaboration and human-oriented design methodologies demonstrates a commitment to worker health, comfort, and safety alongside technical performance — a balance increasingly demanded in Industry 4.0 environments. With over 214 cumulative citations across her top papers, her influence spans both algorithmic development and practical implementation, including experimental validation on commercial platforms like the UR5e. Her work at the i-LABS laboratory further underscores her dedication to translating research into real-world manufacturing contexts, making her a notable voice in the evolving field of safe and sustainable human-robot collaboration.