Navoda Perera

Papers

Total Citations

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About

Navoda Perera is a leading researcher in human-robot collaboration and safe autonomous systems, with a primary focus on real-time collision avoidance and machine perception. Her most cited work, "Machine Perception Platform for Safe Human-Robot Collaboration" (2019, 9 citations), addresses a critical challenge in industrial robotics: enabling speed and separation monitoring as defined by safety standards. Perera’s key contribution lies in advancing beyond traditional, safety-certified laser scanners—which offer limited target information—by developing a perception platform that enhances situational awareness without compromising safety. This work bridges the gap between rigid safety protocols and the flexibility needed for effective human-robot teamwork. Her research has significant implications for manufacturing and automation, where safe, dynamic interaction is paramount. By improving how robots perceive and respond to human presence, Perera is helping to shape the next generation of collaborative workspaces. Her contributions are foundational for researchers and engineers working to integrate robots into human-centered environments, ensuring both productivity and safety.