Forrest Rogers-Marcovitz
Papers
4
Total Citations
51
H-Index
4
About
Forrest Rogers-Marcovitz is a leading researcher in autonomous mobile robotics, with a focus on off-road navigation and vehicle dynamics. His work addresses the critical challenge of maintaining accurate pose estimation when GPS is unavailable, developing novel methods for inertial navigation that leverage high-performance models of wheel slip. This research, detailed in his most-cited paper (2012, 24 citations), has proven essential for reliable dead reckoning in rugged, position-denied environments. Rogers-Marcovitz further advanced the field by pioneering a unified perturbative dynamics approach for online vehicle model identification (2016, 17 citations), enabling autonomous systems to continuously learn and adapt their own mobility characteristics in real time. His integrated perturbative dynamics framework (2010, 4 citations; 2013, 6 citations) provides a systematic method for modeling robotic dynamics on rough terrain, directly supporting more competent planning and control. Through these contributions, Rogers-Marcovitz has helped bridge the gap between theoretical dynamics and practical, high-performance off-road autonomy, making his work foundational for researchers and engineers developing unmanned ground vehicles capable of operating in the world’s most challenging environments.
Research Focus
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