Max Robotics — Global Service Robot Directory + US Certification

About

James K. Archibald is a leading researcher in autonomous robotics and multi-agent systems, with a focus on vision-guided control for micro aerial vehicles (MAVs). His pioneering work on quad-rotor UAVs, particularly the development of an on-board vision system for stabilization and targeted landing, has been foundational—his 2007 paper on vision-aided stabilization for quad-rotor micro UAVs has garnered 62 citations, reflecting its influence in the field. Archibald’s contributions extend to reconfigurable on-board vision processing (28 citations) and precision landing systems using FPGA implementations (17 citations), enabling small autonomous vehicles to operate in complex environments. He has also advanced multi-agent coordination through utility-based approaches (17 citations) and human-assisted capture-the-flag test-beds (18 citations), demonstrating how teams of robots can collaborate with human input. Notably, Archibald designed a competitive robot soccer course for undergraduate students (14 citations), blending research with education. His work on fast 3D reconstruction (11 citations) and embedded vision for unmanned helicopters (10 citations) further underscores his impact. With over 200 total citations across his top papers, Archibald’s research continues to shape the development of autonomous systems for agriculture, security, and search-and-rescue applications.