ROBOFEST 2025

Team Arrow | Nirma University

ROBOFEST–Gujarat 5.0: Aerial Robotics

ROBOFEST–Gujarat 5.0: Aerial Robotics – Minefield Navigation Challenge is a senior-category competition conducted by the Gujarat Council on Science and Technology (GUJCOST), Department of Science and Technology, Government of Gujarat. The event requires student teams to design and deploy a swarm of autonomous micro aerial vehicles, with a minimum of four drones (each under 0.5 kg), to assist a virtual “person-at-risk” in safely crossing a simulated 100-meter minefield within 10 minutes. The challenge emphasizes real-world relevance in defense, disaster response, and humanitarian operations, demanding high reliability, safe navigation, and coordinated swarm behavior under competition constraints.

The mission demonstration evaluates key technical capabilities including gesture/voice-based activation, autonomous takeoff, mine detection and mapping using onboard sensors, obstacle avoidance, and collaborative route planning. Teams must generate and communicate a safe route with a mandatory 1-meter exclusion buffer from each detected mine and visually mark the corridor using LEDs or approved markers. The competition field is designed as a 20 m × 100 m arena divided into Start, Minefield, and Exit zones, containing approximately 20 to 40 buried mines with possible obstacles such as poles. Scoring is based on mine-mapping accuracy, safe guidance, completion, and time performance, with penalties for unsafe proximity or crashes.

Mission Objectives

Mine Detection

Detect and map the mines using onboard sensors.

Mine Detection

Coordination

Coordinate among drones to prevent redundant scanning.

Coordination

Safe Path

Generate a navigation corridor with 1-meter clearance.

Safe Path

Dynamic Tracking

Track the person-at-risk and update the path live.

Dynamic Tracking

DRONE INTELLIGENCE

Mine Detection

Advanced sensor-based logic for autonomous mapping of underground hazards.

Swarm Intelligence

Coordinates among drones to prevent redundant scanning of the same area.

On-Board Computer

Companion processing for high-level data handling and real-time mission planning.

Gesture Control

Interpret hand signals for emergency mission overrides and interaction.

Total Weight

Ultra-lightweight configuration optimized at 472 g for maximum agility.

Power Source

Driven by a 4500mAh 10C Lithium-Ion battery pack for extended endurance.

3D EXPLORATION

Flight Controller

High-performance processor for stable autonomous minefield navigation.

Raspberry Pi

Onboard companion computer for real-time vision processing and mission logic.

RPi Cam Module 3

Lightweight camera sensor for visual obstacle detection and mapping.

GPS

Precision GPS module for accurate global positioning.

Ultrasonic Sensor

Proximity sensor for low-altitude terrain hold.

Battery Unit

High-discharge Li-Ion battery cells providing extended flight endurance.

ESC

High-current 4-in-1 ESC for motor management.

Brushless Motor

High-torque brushless motors optimized for efficiency and agility.

Propeller

Aerodynamically designed propellers for maximum thrust and efficiency.

COMPETITION TEAM

Het

Het

TEAM CAPTAIN

Manav

Manav

TEAM MEMBER

Nishanth

Nishanth

TEAM MEMBER

Kavya

Kavya

TEAM MEMBER