• Internship
  • India

Website Indian army

R&D Intern – Robotics and Autonomous Ground Systems (Indian Army)

Opportunity Overview

Attribute Details
Organisation Indian Army
Role Title R&D Intern – Robotics and Autonomous Ground Systems
Duration 75 Days
Eligible Degrees B.Tech / B.E. / M.Tech / M.E. (Robotics, Mechatronics, AI/ML, Automation, Mechanical, Electrical)
Employment Type Internship (Research & Development)
Core Domain Unmanned Ground Vehicles (UGVs), Sensor Fusion, Autonomous Navigation & AI

Technical Scope & System Architecture

The Robotics & Autonomous Ground Systems R&D Intern contributes to military-grade Unmanned Ground Vehicles (UGVs) designed for tactical operations, terrain mapping, and autonomous navigation in contested environments:

[Sensor Fusion (LIDAR/EO/RF)] ➔ [AI Perception & GPS-Denied SLAM] ➔ [Route Planning & Obstacle Avoidance] ➔ [Field Evaluation & Telemetry]

Core Responsibilities

  • Autonomous Navigation in Restricted Terrain: Research and implement path-planning, simultaneous localisation and mapping (SLAM), and dead-reckoning algorithms for GPS-denied tactical environments.

  • Multi-Sensor Fusion Architecture: Integrate and evaluate hardware/software systems utilizing Electro-Optical (EO) cameras, LIDAR, Radio Frequency (RF) telemetry, and spatial sensors.

  • AI-Enabled Perception & Route Planning: Implement AI models for real-time obstacle detection, terrain classification, and resilient route generation under dynamic field conditions.

  • Human-Machine Teaming & Field Trials: Evaluate human-machine interface (HMI) concepts, participate in operational field trials, and document technical performance metrics.

Candidate Qualifications & Technical Matrix

Minimum Requirements

  • Academic Background: B.Tech/B.E. or M.Tech/M.E. in Robotics, Mechatronics, AI & Machine Learning, Automation, Mechanical, or Electrical Engineering.

  • System Integration: Solid grasp of ROS/ROS2, sensor integration, and control system fundamentals.

  • Availability: Available for the full 75-day on-site/field trial internship commitment.

Technical & Engineering Competency Matrix

Domain Area Technical Stack & Core Concepts
Autonomous Systems & Software

• ROS / ROS2, Gazebo / Webots simulation, C++, Python


• SLAM (Gmapping, Cartographer, LIO-SAM), OpenCV, Point Cloud Library (PCL)
Sensor Fusion & Hardware

• LIDAR processing, Electro-Optical (EO) vision, IMU integration, RF communications


• Embedded systems (Jetson Orin, Raspberry Pi, Microcontrollers)
AI & Control Theory

• Path planning (A*, Dijkstra, TEB Local Planner), Obstacle detection (YOLO, Semantic Segmentation)


• Kinematics, dynamics, PID/MPC control, Human-Machine Interfaces (HMI)

Selection Workflow & Assessment Pipeline

[Academic & Discipline Screening] ➔ [Robotics & ROS Technical Test] ➔ [Autonomous Systems & AI Interview] ➔ [Final Panel Review & Selection]

  1. Eligibility & Resume Screening: Verification of relevant engineering discipline (Robotics, Mechatronics, AI/ML, Mechanical/Electrical) and 75-day commitment.

  2. Technical Assessment: Hands-on test evaluating C++/Python programming, ROS navigation stack logic, matrix transformations, or sensor data parsing.

  3. Robotics Architecture Interview: Technical discussion on SLAM implementation in GPS-denied areas, sensor fusion algorithms (Kalman Filtering), and UGV mechanical design trade-offs.

  4. Final Defence R&D Loop: Scenario-based panel review assessing problem-solving capabilities, adaptability for field trials, and technical documentation skills.

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