Brian James Milligan
Papers
1
Total Citations
14
H-Index
1
About
Brian James Milligan is a researcher whose work lies at the intersection of robotics, computer vision, and human-robot interaction. His key contributions focus on developing intuitive, vision-based systems that allow humans to naturally command and coordinate multi-robot teams. In his most cited work, "Selecting and commanding groups in a multi-robot vision based system" (2011, 14 citations), Milligan introduced a novel method enabling users to select and task groups of robots using only hand gestures, eliminating the need for external instruments or controllers. This approach leverages computer vision to interpret human gestures in real time, allowing for seamless, scalable control of robot populations. Milligan’s research has significant implications for search-and-rescue, industrial automation, and collaborative robotics, where efficient human-robot teamwork is critical. His work demonstrates how intuitive interfaces can bridge the gap between human intent and robotic action, paving the way for more accessible and responsive multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1Selecting and commanding groups in a multi-robot vision based system14 citations · 2011