Hi, I'm

Nimesh Khandelwal

Robotics Researcher & Co-Founder, xTerra Robotics

PhD researcher at IIT Kanpur, working on software development and motion control for legged robots. Co-building a commercial quadruped robot for industrial inspection and surveillance.

Nimesh Khandelwal

About Me

I am a PMRF (Prime Minister's Research Fellowship) fellow pursuing my PhD in Mechanical Engineering at IIT Kanpur, under the supervision of Prof. Shakti S. Gupta and Prof. Mangal Kothari. My research focuses on learning-based control systems for legged robots.

I am also the Co-Founder and CTO (Software) at xTerra Robotics, where my team and I have developed SVAN M2, a commercial quadruped robot designed for industrial inspection, hazardous environment navigation, and security patrols.

My work focuses on software development and motion control research for legged robots, particularly for industrial inspection and surveillance applications. I design and implement control systems for autonomous mobile robots and test them through physics-based simulations before deploying on real hardware.

Co-founder xTerra Robotics
Ph.D. Candidate IIT Kanpur
PMRF Fellowship

Experience

Co-Founder & CTO (Software)

Mar 2023 - Present

xTerra Robotics, Kanpur

Leading software development and motion control research for SVAN M2, a commercial quadruped robot built for industrial inspection and surveillance. Working on learning-based control systems, MPC frameworks, and ROS-based autonomy software.

PhD Researcher (PMRF Fellow)

2020 - Present

IIT Kanpur, Mechanical Engineering

Research on dynamics, control, and stability analysis of legged robots. Working on nonlinear MPC, whole-body control, and reinforcement learning for quadruped locomotion.

Visiting Research Intern

Jan 2024 - Jan 2025

CRRL (ECE), New York University

Worked on robotics research at NYU's Control/Robotics Research Lab in the ECE department.

Elite Summer School on Robotics

Aug 2022

University of Southern Denmark, Odense

Attended a robotics summer school covering topics in robot control and autonomous systems.

B.Tech in Mechanical Engineering

2016 - 2020

MNIT Jaipur

Active member and mentor at ZINE, the institute's robotics and research group. Participated in robotics competitions at IIT Kharagpur, IIT Bombay, MIT Pune, and more.

Project Intern

May 2019 - Jul 2019

IISc Bangalore, Aerospace Engineering

Worked on UAV swarm navigation algorithms for the MBZIRC 2020 challenge and autonomous flood-area survivor detection.

Projects

Cellular Automata (DRX)

Dynamic recrystallization simulation using cellular automata. Implementations in both Python and C++.

PythonC++Simulation

UAV Swarm Navigation

Autonomous wall construction using UAV swarms for MBZIRC 2020 challenge. Includes survivor detection in flood-affected areas.

ROSPX4MAVROS

Monocular 3D Reconstruction

Multiview 3D reconstruction using convex optimization from a monocular camera (EE609A, IIT Kanpur).

PythonOptimization

Einstein Field Equations Generator

Symbolic computation of Einstein field equations using Python and SymPy.

PythonSymPy

Skills & Technologies

Robotics & Control

Model Predictive Control Whole-Body Control Reinforcement Learning Motion Planning Stability Analysis Nonlinear Dynamics

Frameworks & Tools

ROS OCS2 MuJoCo Isaac Lab PX4 MAVROS Genesis

Programming

C++ Python MATLAB ROS/C++ Linux Git

AI & Perception

Deep RL LiDAR-Inertial Odometry Computer Vision 3D Reconstruction NVIDIA CUDA

Research Interests

Legged Locomotion

Dynamics, control, and stability analysis of quadruped robots. Developing locomotion controllers for various terrain types.

Learning-Based Control

Combining model-based control with reinforcement learning for adaptive robot behavior. Sim-to-real transfer for real-world deployment.

Nonlinear Dynamical Systems

Stability analysis and control of nonlinear systems. Model Predictive Control for contact-rich robotic manipulation and locomotion.

Autonomous Navigation

LiDAR-inertial odometry, estimation, and motion planning for autonomous mobile robots in unstructured environments.

Get in Touch

Open to discussing research, collaboration, or opportunities in robotics and engineering.

GitHub LinkedIn Twitter Instagram