Jay A. Farrell
Papers
9
Total Citations
1,315
H-Index
6
About
Jay A. Farrell is a leading authority in autonomous systems, whose work bridges the critical gap between navigation and multi-agent coordination. His seminal textbook, *Aided Navigation: GPS with High Rate Sensors* (789 citations), has become a cornerstone for engineers designing robust navigation systems for smart vehicles, unmanned aircraft, and precision agriculture, blending GPS with inertial sensors for high-reliability applications. Farrell’s research on cooperative control of nonholonomic mobile agents (345 citations) has fundamentally advanced how groups of robots—from wheeled robots to unmanned systems—achieve consensus and formation control under uncertainty, using graph theory and Lyapunov analysis to prove stability. His contributions extend to adaptive control for manipulators and human-robot interaction, where he explores action prediction for seamless collaboration. With over 1,200 total citations across his most-cited works, Farrell’s impact is felt in both commercial and military domains, shaping the next generation of intelligent, coordinated autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Aided Navigation: GPS with High Rate Sensors789 citations · 2008
- 2Cooperative Control of Multiple Nonholonomic Mobile Agents345 citations · 2008
- 3Tracking control of a manipulator under uncertainty by FUZZY P+ID controller75 citations · 2001
- 4Consensus of multiple nonholonomic systems37 citations · 2008
- 5Formation control of nonholonomic mobile robots35 citations · 2006
- 6Decentralized cooperative control of multiple nonholonomic systems22 citations · 2007
- 7Human action prediction for human robot interaction5 citations · 2016
- 8Unifying behavior-based control design and hybrid stability theory5 citations · 2009
- 9Formation control of multiple mobile robots with uncertainty2 citations · 2008