Dan Puiu

Papers

Total Citations

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About

Dan Puiu is a robotics researcher whose work focuses on the intersection of computer vision, motion planning, and autonomous systems. His most cited paper, “Robust camera pose and scene structure analysis for service robotics” (2011, 23 citations), addresses a fundamental challenge in service robotics: enabling robots to reliably understand their environment through visual data. This work contributes to the development of robots that can navigate and interact with unstructured human spaces. Puiu also made notable contributions to safe human-robot interaction with his paper on “Real-time collision avoidance for redundant manipulators” (2011, 9 citations), which presents a trajectory planning strategy that allows robot arms to dynamically avoid unexpected moving obstacles. This work is critical for deploying robots in shared workspaces. Additionally, his research on “Petri nets and agents to supervisory control of complex environment” (2010, 2 citations) explores command filtering frameworks for semi-autonomous systems, ensuring safety when human operators are in the control loop. Collectively, Puiu’s work advances the reliability and safety of robotic systems operating in dynamic, human-centered environments.