I am a Postdoctoral Research Associate at Princeton University, where I work on robotics, control theory, neuromorphic decision-making, and game theory. I study how robot teams can make fast, reliable decisions and coordinate safely in uncertain, dynamic, and social environments using only local information, with no centralization or explicit communication. My work focuses on decentralized control and continuous adaptation, where collective behavior emerges in real-time through local dynamical interaction for autonomous operation in the wild.
I am currently working with Prof. Naomi Leonard at Princeton. I did my PhD at Cornell University with Prof. Hadas Kress-Gazit, and my Bachelor's and Master's in Aerospace Engineering at IIT Bombay. I have also collaborated with the Cohen Group and Laboratory for Molecular Engineering on autonomous micron-scale origami robots.
Outside of research, I enjoy running, hiking, and reading about world affairs, psychology, and philosophy of science.
I study how robots can make fast, reliable, and provably safe decisions when sensing, computation, communication, or actuation are limited. My work combines control theory, nonlinear dynamics, and collective intelligence to develop decentralized decision-making and control frameworks that are both mathematically grounded and deployable on real robotic systems. Research statement →
Decentralized, game-theoretic, and neuromorphic control for scalable environment monitoring in resource-constrained robot teams.
Safe, scalable, and deadlock-free multi-robot navigation through continuous adaptation and local interaction rules.
Provably safe aerial motion planning under uncertainty, limited computation, and complex workspace constraints.
Control, estimation, and modeling for distributed spacecraft systems, autonomous navigation, and propulsion.
Provably correct decentralized control for robot swarms with no memory, no communication, and no localization.
Micrometer-scale origami robots that fold into 3D shapes, locomote in solution, and are controlled by surface electrochemical actuators.
Reactive task and motion planning using object affordances, feasibility checks, and tool substitution — demonstrated on a Stretch robot.