Papers
10
Total Citations
255
H-Index
7
About
Linda Bushnell is a pioneering researcher in nonlinear control theory and autonomous robotic systems, with a particular focus on nonholonomic motion planning and multi-trailer vehicle dynamics. Her seminal 1995 paper on converting a multisteering trailer system into chained form using dynamic feedback (96 citations) established foundational methods for controlling complex mobile robot configurations with passive trailers—work that remains highly influential in the field. She further advanced this area by developing off-tracking bounds for car-trailer systems with kingpin hitching (49 citations) and creating obstacle avoidance algorithms for off-axle hitching configurations (24 citations), providing practical tools for real-world autonomous navigation. Bushnell also contributed to control education, designing a three-course autonomous robotics sequence at the University of Washington that has been running for years, and she explored modern reinforcement learning techniques through interactive reward shaping (FRESH, 2020). Her research spans from theoretical extensions of Goursat normal forms to applied robotics, demonstrating a rare ability to bridge rigorous mathematics with tangible engineering solutions. With over 250 total citations across her most-cited works, Bushnell’s legacy lies in enabling complex, multi-body robotic systems to maneuver safely and efficiently in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Off-tracking bounds for a car pulling trailers with kingpin hitching49 citations · 2002
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- 7Feasibility Study of DTMF Communications for Robots9 citations · 2004
- 8Control education via autonomous robotics7 citations · 2004
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- 10Theta Neuron Networks: Robustness to Noise in Embedded Applications2 citations · 2007