R.U.G.V.E.D
Remote Unmanned Ground Vehicular Electronic Defence Systems
About Us
R.U.G.V.E.D is a student-led defense tech initiative focused on creating Remote Unmanned Ground Vehicular Electronic Defence systems. Our mission is to bridge the gap between innovation and application in military-grade automation, AI, robotics, and electronics.
Our Achievements
- Secured Top 5 in Smart India Hackathon 2024
- Successfully deployed WALRUS 2.0 prototype
- Featured in National Defence Expo 2025
- Patent filed for AI-based Terrain Navigation
- Eyantra (2023-24) - IIT Bombay - All India Rank 10
- Guiding Gaze 2023 - OpenCV Al International Competition International Rank 7
- Al for Change 2024 - Online Hackathon - Winners
- Line Following Robot 2024 - BITS Goa - Top 7
- 1st place in Pragyaan Fusion Hackathon, NIT-Trichy 2021, (Mechanical, Electrical divisions)
- 1st place in 'Covideate', IIT Bombay's Techfest 2020
- 1st place in Def Hacks Global 2.0, hosted by Major League Hacking internationally - 2020
Research Papers
- Autonomous Terrain Navigation Using AI - IEEE, 2024
- Optimized Pathfinding in UGV Systems - ICRA, 2023
- Reinforcement Learning for Obstacle Avoidance - Elsevier Robotics Journal, 2023
Our Subsystems
The Board
The Board Details
Strategic oversight, direction, and decision-making leadership across the R.U.G.V.E.D project.
Management
Management Details
It handles administrative tasks such as project tracking, resource allocation, team coordination, and progress monitoring to ensure smooth execution and timely completion.
Electronics
Electronics Details
It includes hardware components like sensors, microcontrollers, and circuits, enabling data collection, processing, and system functionality.
Research
Research Details
It focuses on gathering, analyzing, and documenting relevant information, ensuring informed decision-making and innovative problem-solving.
Artificial Intelligence and Robotics
Artificial Intelligence and Robotics Details
It enhances automation and decision-making by enabling systems to learn, adapt, and perform tasks with human-like intelligence.
Mechanical
Mechanical Details
Focuses on the design, development, and optimization of physical components, ensuring durability, efficiency, and performance in our project.
Our Team
Faculty Advisors
Dr. Niraj Dewangan
Faculty Advisor
Dr. Karthik Rao
Faculty Advisor
The Board
Shagnik Guha
Team Lead and Technical Head
Lavitra Srivastava
Team Manager and AI Team Member
Subhasis Sahoo
Management Head
Priyanshu Sil
Electronics Head
Tejeswar Pokuri
Research Head
Janav Bhasin
AI Team Head
Mohammed Sahil Nakhuda
Robotics Head
Abhayinder Singh
Mechanical Head
Electronics Team
Priyanshu Sil
Electronics Head
Rochelle Maria Quadros
Team Member
Sarang Swami
Team Member
Dev Narayan Singh
Team Member
Dhruv Mehta
Team Member
Sathi Sailesh Reddy
Team Member
Avantika Sahasranaman
Team Member
Shikhar Uniyal
Team Member
Vivek R Devagirimath
Team Member
Research Team
Tejeswar Pokuri
Research Head
Karthik Bvas
Team Member
Sarvesh Kumar
Team Member
Konthalapalli Laalenthika
Team Member
AI & Robotics Team
Shagnik Guha
Team Lead and Technical Head
Janav Bhasin
AI Team Head
Lavitra Srivastava
Team Manager and AI Team Member
Mohammed Sahil Nakhuda
Robotics Head
Aryaman Sharma
AI Team Member
Uthkarsh B Pai
AI Team Member
Ayush Mishra
AI Team Member
G Parikshith
AI Team Member
Avishi Bansal
AI Team Member
Anish Setya
AI Team Member
Kotha Rusheel Reddy
AI Team Member
Pranav Joshi
Robotics Team Member
Mechanical Team
Abhayinder Singh
Mechanical Head
Vedika Prabhu
Team Member
Aryan Amit Wagle
Team Member
Alron Gladson D Almeida
Team Member
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Prajwal Nambiar
Team Member
Harsh Anand A B
Team Member
Mimansa Singh
Team Member
Management Team
Subhasis Sahoo
Management Head
Irene George
Senior Team Member
Vedika Hari
Team Member
Ishaan Kukreti
Team Member
Sridha Rajendran
Team Member
Gayatri Nambiar
Team Member
Archisman Dasgupta
Team Member
Manthan Singhal
Team Member
Adithya Prasad
Team Member
Flagship Projects
TRAFFIC MUNDA
AI-driven traffic control uses real-time CCTV data to optimize flow, detect violations, and enhance road safety.
DRONE
The drone is capable of maneuvering across air in a fluid motion and is planned to be added to the WALRUS Project to provide Land to parameter data and live video feed with a range of 2 km.
WALRUS 2.0
An autonomous, modular military vehicle with AI, terrain mapping, landmine detection, and customizable deployment capabilities.
Past Projects
GESSURE
A robust face authentication enabled dynamic gesture recognition GUI application.
RASPICO DEV
A multipurpose development board which houses a RP2040 microcontroller and is interfaced multitude of with components like the LORA module for testing purposes.
BATTERY PACK
A 16-cell configuration which can provide a cumulative 12V and relates to BMS to provide cell balancing and protection.