Graduate Research Assistant
As a roboticist specializing in multi-agent systems, I’ve dedicated my career to making sure robots play well with others – and with the real world. While some might worry about a robot uprising, I’m more focused on ensuring seamless navigation and preventing any unscheduled collisions. I even leverage Game Theory to elegantly resolve conflicts when multiple agents vie for the same space or resource. My current research dives deep into safety certificates and control barrier functions, ensuring that even when robots are having a grand time exploring, they’re always operating within safe, predictable parameters. Think of it as teaching cutting-edge AI manners, all while optimizing performance.
- Multi-agent Robotic Systems
- Game Theory
- Safety-critical Controls
- Autonmous Racing
MS Robotics
Northeastern University, Boston
BTech Mechanical Engineering
Indian Institute of Technology, Varanasi
My research delves into the intricate dynamics of multi-agent robotic systems, addressing the fundamental challenge of ensuring both safety and optimal performance in collaborative or co-existing environments. As robotic autonomy expands, guaranteeing collision-free operation while maximizing task efficiency is paramount.
My primary focus involves developing and implementing safety certificates through the rigorous application of Control Barrier Functions (CBFs). This approach utilizes a minimally invasive convex optimization framework, allowing robots to maintain high-level task execution while continuously adhering to critical safety constraints.
The objective is to engineer intelligent, scalable robotic fleets that are inherently reliable, predictable, and capable of operating safely even in highly dynamic and uncertain scenarios, paving the way for advanced autonomous applications.
I pen down my thoughts on topics that interest me. A work in progress!