Lomash Relia

M.Tech student and robotics researcher specializing in autonomous systems, space robotics, computer vision, deep learning, and edge AI.

You can download my complete curriculum vitae using the link below.

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Download Lomash Relia – CV

Profile Summary

I am an M.Tech student in Autonomous Systems and Machine Intelligence with strong research and development experience in robotics, computer vision, deep learning, and edge AI. My work focuses on building end-to-end autonomous systems, from simulation and control design to real-world deployment on embedded hardware.

Education

Atal Bihari Vajpayee Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior
M.Tech in Autonomous Systems and Machine Intelligence
CGPA (Semester 1): 9.71 / 10
Aug 2025 – Present

Charotar University of Science and Technology (CHARUSAT), Anand
B.Tech in Computer Engineering
CGPA: 9.41 / 10
Sep 2021 – Jun 2025

Research & Professional Experience

Master’s Thesis Project (Ongoing)
ABV-IIITM Gwalior

  • Developing mathematical control systems for robotic manipulation using MuJoCo
  • Working on eye-in-hand visual servoing and perception-driven control
  • Exploring Vision–Language–Action (VLA) models for space and planetary robotics

Research Intern
Space Applications Centre (ISRO), Ahmedabad

  • Developed a prototype planetary rover with monocular depth estimation
  • Optimized deep learning models for real-time edge deployment on Raspberry Pi
  • Designed modular control architectures for autonomous and manual operation

Research Collaborator
Indian Institute of Tropical Meteorology (IITM), Pune

  • Built deep learning pipelines for tropical cyclone intensity estimation
  • Worked with multi-channel satellite imagery and model benchmarking

Teaching Assistant
ABV-IIITM Gwalior

  • Assisted undergraduate laboratory and tutorial sessions
  • Supported students in problem-solving and logic development

Selected Projects

  • Eye-in-Hand Image-Based Visual Servoing for SO-101 Robot Arm
  • AI-Powered Planetary Rover with Edge AI
  • Deep Learning for Cyclone Intensity Estimation
  • LLM-Based Knowledge Extraction System
  • Mobile Application for Brain Tumor Detection

(Details available in the Projects section.)

Publications & Conferences

  • Springer Book Chapter on depth-aware rover navigation (2024)
  • WGNE Blue Book publication on cyclone intensity estimation (2024)
  • IEEE INGARSS 2025 Symposium
  • PRL Venus Science Conference (2024)
  • ICHCSC Conference (2024)

Technical Skills

Programming Languages: Python, C++, SQL, Dart
Robotics & Control: MuJoCo, ROS2, Control Systems, Inverse Kinematics
AI & Vision: Computer Vision, Deep Learning, LLMs, VLMs, Edge AI
Frameworks & Tools: PyTorch, TensorFlow, FastAPI, OpenCV, Linux, Git
Hardware: Raspberry Pi, Servo Control, Sensor Integration

Contact

Email: lomashrelia@gmail.com
LinkedIn: https://www.linkedin.com/in/lomash-relia/
GitHub: https://github.com/lomash-relia

Last updated: February 2026