I'm a Masters Student in Electrical and Computer Engineering Student at Carnegie Mellon University. I work with Prof. Guanya Shi at the LeCAR Lab on Learning and Control of legged robots. My current work is on reducing the Sim2Real gap of legged robots using Real2Sim techniques and providing Online-Adaptation during deployment.
I received my Bachelors in Electrical Engineering from IIT Madras during which I interned as a Robotics Intern at DiFACTO Robotics and Automation focusing on navigation and recovery of in house AMR. I also worked as a Research Intern at Dynamic Robotics and Control Laboratory under the guidance of Prof. Quan Nguyen on Model-based priors guided Reinforcement Learning for Agile Legged Robot Control.
Apart from this I was part of Team Anveshak, a student run Mars Rover Team of IIT Madras which participates in University Rover Challenge at Mars Research Desert Station,Utah and worked as an Embedded Systems and Control Engineer, later getting promoted as Team lead for the period 2022-2023.
I am interested in developing algorithms that integrate learning and model-based control to enable robots to be agile and adaptive to model inaccuracies and environmental uncertainities.
Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning
Nikhil Sobanbabu, Guanqi He, Tairan He, Yuxiang Yang, Guanya Shi
Coordinated autonomous control of multi-agent quadrotors in a regular polygon formation with varied orientations using the in-built mellinger controller.
Receding-Horizon mode planner for mode planning against perturbations
Nikhil Sobanbabu, Lokesh Krishna
Planner chooser behaviours encoded as latent modes using monte-carlo roll outs to be robust against perturbations generating emergent transitions between modes/behaviors.
Multi-agent Game Theoretic Framwork for Target-Attacker-Defender game
Nikhil Sobanbabu, Shivendra Verma
Simulation environment for the single attacker, singe target, multiple defender pursuit evation differntial game.
Course Projects
Swing-up and Stabilisation of inverted pendulum.
Course EE6415 Non-Linear System Analysis
Swing-up is done using a control from an energy based Lyapunov function. After a reaching an appropriate angle, pole-placement based stabilisation kicks in.
Motion planning for a KUKA mobile Manipulator
Course ED5215 Intro to Motion Planning Nikhil Sobanbabu, Balaji R, Kanishkan M S
Problem Statement: Optimal pick and place of multiple objects to a given destination with payload constraints for the mobile manipulator.
Solution: Dijkstra+Modified TSP for navigation. RRT* for manipulation.