Jeffrey D. Anderson

Brigham Young University, Pratt Institute

Papers

Total Citations

112

H-Index

About

Jeffrey D. Anderson is a leading researcher in human-robot interaction and autonomous systems, with a focus on enabling seamless collaboration between humans and multi-robot teams. His most influential work, "Managing autonomy in robot teams" (2007, 97 citations), addresses the critical challenge of balancing human workload and robot autonomy when supervising multiple robots. Anderson proposed dynamically adapting autonomy levels to respond to environmental changes and operator capacity, a foundational concept for scalable human-robot teaming. He has also advanced the integration of robotics in design and architecture, as seen in "Robo-Stim: Modes of Human Robot Collaboration for Design Exploration" (2019) and "Interfaces for Adaptive Assembly" (2018), where he explores how relinquishing some design agency to automated systems can expand creative possibilities in architectural assembly. Earlier in his career, Anderson contributed to embedded vision systems, demonstrating in "FPGA implementation of vision algorithms for small autonomous robots" (2005, 5 citations) how Field Programmable Gate Arrays enable real-time on-board vision for compact robots. His work bridges autonomy, human factors, and creative applications, making him a key figure in advancing practical, human-centered robotics.