Chetan D. Pahlajani

University of Delaware, Indian Institute of Technology Gandhinagar

Papers

Total Citations

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About

Chetan D. Pahlajani is a researcher specializing in stochastic control theory, robot navigation, and probabilistic systems, with a particular focus on developing rigorous mathematical frameworks for autonomous vehicles and robots operating under uncertainty. His most influential contribution, "Stochastic Receding Horizon Control for Robots with Probabilistic State Constraints" (2012, 18 citations), introduced an innovative two-stage solution for receding horizon control design that elegantly addresses the challenge of navigating constrained environments subject to stochastic uncertainty — a significant departure from conventional expectation-minimization approaches. Building on this, his 2011 work on probability of success in stochastic robot navigation (12 citations) provided a principled method for quantifying the likelihood that feedback control policies designed for deterministic drift dynamics remain effective under stochastic perturbations. His 2015 paper on optimal navigation for stochastically behaving vehicles (6 citations) further advanced the field by delivering computationally efficient, real-time implementable control laws suitable for resource-limited platforms. Together, Pahlajani's research has made meaningful contributions to the intersection of control theory and robotics, offering both theoretical depth and practical applicability for engineers designing autonomous systems that must perform reliably in uncertain, real-world environments.