Published multiple papers on safe control, robot navigation, and learning, including:
“Safe control synthesis with uncertain dynamics and constraints”
“Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning”
“Probabilistic Safety Constraints for High Relative Degree System Dynamics”
Submitted journal papers: “Control Barriers in Bayesian Learning of System Dynamics”, “Object residual constrained Visual-Inertial Odometry”, “Learning Navigation Costs from Demonstrations with Semantic Observations”
Organized ICRA 2021 and ICRA 2025 workshops on Safe Robot Control
Invited talk on “Autonomous navigation and safety” at FET MRIIRS
Research Experience
Joined University of Maine as Assistant Professor in August 2021
Organized and participated in international workshops on safe robot control (e.g., ICRA 2021, ICRA 2025)
Conducted research on safe control synthesis under uncertain dynamics and constraints
Developed inverse reinforcement learning methods for autonomous navigation using differentiable semantic mapping and planning
Explored probabilistic safety constraints for high relative degree system dynamics