Ananya Trivedi
Papers
4
Total Citations
19
H-Index
3
About
Ananya Trivedi is an emerging robotics researcher specializing in probabilistic modeling, motion planning, and robust control for autonomous mobile systems operating in challenging off-road environments. Her work addresses a critical gap in field robotics: accurately capturing the complex, nonlinear tire-terrain interactions that arise when skid-steer wheeled mobile robots navigate at dynamic limits, where conventional models break down due to unpredictable slipping and skidding. By combining Gaussian Process Regression, Sigma-Point Transforms, and stochastic Model Predictive Control, Trivedi has developed data-driven frameworks that enable safer, more reliable autonomous navigation across unstructured terrains. Her research extends beyond wheeled platforms into legged locomotion, as demonstrated by her chance-constrained convex MPC framework for quadruped robots that rigorously handles payload variation and terrain uncertainty without extensive manual tuning. With four notable publications since 2023 accumulating nearly 20 citations in a short span, Trivedi's contributions are already gaining traction within the robotics community. Her interdisciplinary approach — bridging probabilistic inference, control theory, and real-world robot deployment — positions her as a promising voice in the next generation of robust autonomous systems research.
Research Focus
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Top Papers
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