Robotics Research Intern
I'm a Robotics Research Intern at IIT Mandi, where I've honed my skills in autonomous navigation and vision-based perception since March 2026. I've successfully developed an autonomous wheelchair robot using ROS 2, Gazebo, and Nav2, which enhanced real-time navigation capabilities by 30%. I'm now advancing toward roles that allow me to deepen my expertise in autonomous systems and contribute to innovative robotics solutions.
Integrated Nav2 stack for autonomous navigation including mapping, localization, and path planning on ROS 2. Deployed on Arduino Mega with fused sensor input from Intel RealSense D455 and 2D LiDAR. Designed perception modules using monocular depth estimation with Depth Anything v2/v3 for real-time operation.
Built and debugged URDF models with correct kinematic chains, joint limits, and mesh alignment for simulation fidelity. Implemented forward and inverse kinematics using MATLAB for trajectory evaluation and motion validation. Integrated visual servoing and vision-based control for autonomous pick-and-sort operations; presented at SRISHTI 2025.
Designed a hybrid Xception + LSTM pipeline for spatial-temporal deepfake analysis. Achieved 92% detection accuracy through preprocessing, augmentation, and optimization using OpenCV.
Developed an Arduino-based smart cane for real-time obstacle detection; presented at SRISHTI 2024.
Mar 2026 – Present
Developing an autonomous wheelchair robot integrating ROS 2, Gazebo, and Nav2 for real-time navigation and perception. Built navigation pipelines including SLAM-based mapping, localization, and obstacle avoidance for assistive robotics. Implementing monocular depth estimation models (Depth Anything V2/V3) for perception on resource-constrained hardware. Contributing to simulation-to-real transfer methodologies for deploying assistive robotics systems in real-world environments.
Dec 2024 – Jan 2026
Developed and improved URDF models, joint configurations, and simulation workflows for the open-source BCN3D Moveo robotic arm. Implemented forward and inverse kinematics using MATLAB for robotic arm trajectory planning and motion validation. Integrated visual servoing and vision-based control for autonomous pick-and-sort operations using ROS 2, Gazebo, and RViz. Deployed Alibaba Cloud Qwen2.5-VL-3B as a Vision-Language Model (VLM) layer to convert natural language instructions into structured robotic pick-and-place task sequences, enabling language-driven robotic control without hardcoded task logic.
Jul 2024
Worked on PIC microcontroller programming, sensor interfacing, and motor control for robotic subsystems. Designed and tested control logic for embedded robotics applications.
Dec 2022
Built Arduino-based robotic systems including Bluetooth-controlled robots and autonomous platforms.
Jun 2025 – Jul 2025
Worked on IoT-enabled smart systems and automation workflows; received internship training certification.
Oct 2024
Oct 2025
2024
2025
Assisted projects including ROS-based wheelchair, quadruped robot, smart cart, and crack detection robot.
B.Tech – Robotics and Automation • 2022 – 2026
8.97 / 10
Class XII – ISC • 2021 – 2022
95.20%
Class X – ICSE • 2019 – 2020
94.60%
HackS’US Edition IV Hackathon
WINGS 2023
Competed in various robotics competitions.
Interested in collaboration or just want to say hello? Feel free to reach out!