Brian Goldiez

University of Central Florida, University of South Florida

Papers

Total Citations

H-Index

About

Brian Goldiez is a leading researcher in human-robot interaction (HRI) and simulation-based training, with a focus on creating safe, efficient, and intuitive systems for human-robot collaboration. His most cited work, "Human-aware robot motion planning with velocity constraints" (2008, 46 citations), tackles the critical challenge of integrating high-speed robots into human environments. By developing motion planning algorithms that prioritize human comfort and safety, Goldiez demonstrated how robots can complete tasks efficiently without causing unease—a foundational contribution to socially-aware robotics, validated through experiments on a Segway robotic platform. He also advanced the field of simulation fidelity with his "A robot simulator classification system for HRI" (2007, 9 citations), adapting FAA-based guidelines to categorize robot simulators, thereby improving the realism and applicability of virtual testing for HRI. Additionally, his work "Collaboration on the edge of chaos" (2007, 3 citations) revealed that human psychomotor activity is mathematically chaotic at high performance levels, a surprising insight with implications for designing adaptive human-machine interfaces. Based at the Institute for Simulation and Training, Goldiez’s research bridges robotics, psychology, and simulation, influencing how autonomous systems are designed to work alongside people.