Papers
54
Total Citations
1,641
H-Index
20
About
Dawn M. Tilbury is a pioneering figure in control systems and manufacturing engineering, whose work bridges foundational theory and real-world automation. Her research spans nonholonomic motion planning, robotics, and the Internet of Things (IoT) for smart manufacturing. Tilbury is best known for her seminal contributions to stabilizing and steering complex robotic systems with nonintegrable velocity constraints—work that has earned over 275 citations for her 1995 paper on trajectory generation using Goursat normal form and 269 citations for her 1994 stabilization method. She demonstrated that nonholonomic systems, which cannot be stabilized to a point via smooth feedback, can instead be controlled along trajectories, a breakthrough that reshaped mobile robotics. Her later work extends into Industry 4.0, with a 2018 paper (122 citations) introducing a real-time performance monitoring framework for manufacturing systems using hybrid simulation and IoT. Tilbury has also advanced multi-agent production systems and shared control for teleoperated robots. A professor at the University of Michigan, she is a Fellow of IEEE and ASME, and her research continues to influence autonomous vehicles, manufacturing automation, and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Trajectory generation for the N-trailer problem using Goursat normal form275 citations · 1995
- 2Stabilization of trajectories for systems with nonholonomic constraints269 citations · 1994
- 3
- 4
- 5
- 6Steering car-like systems with trailers using sinusoids81 citations · 2003
- 7Trajectory generation for the N-trailer problem using Goursat normal form74 citations · 2002
- 8Stabilization of trajectories for systems with nonholonomic constraints50 citations · 2003
- 9
- 10