Centre of Excellence 

FACULTY PROJECTS:

1. Project Title : Low-Cost Lunar-Like Terrain Rover
   Design and develop a semi-autonomous rover capable of moving reliably over an artificial lunar-like terrain consisting of soft regolith, dust, and uneven rocks while carrying a small soil sample payload (100–200 g).

Objectives

The project aims to:

1. Design a low-cost  rover.

2. Ensure stable movement on artificial lunar-like terrain.

3. Prevent wheel sinkage in soft soil.

4. Enable climbing over small rocks and uneven surfaces.

5. Carry a 100–200 gm soil payload

6. Provide reliable wireless communication. 

STUDENT PROJECTS : 

1. Project Title : Crawler Bot for Industrial Inspection:

This project presents the design and development of a quadruped (four-legged) inspection robot with a total of 12 degrees of freedom, achieved using three servo motors per leg. The robot is equipped with an ESP32-based camera module integrated with a ring light to enable clear visual inspection in low-light or confined environments. Designed for industrial applications, the robot can navigate complex terrains such as pipelines, machinery interiors, and other hard-to-reach areas, leveraging its legged locomotion for enhanced mobility and stability. The system is remotely controlled via a mobile device, providing real-time video feedback to the user.

Team Members : Ansel Vivian Rego, Daniya Mary John

Current Status : Ongoing

2. Project Title : ASCEND Autonomous Drone System: This project presents the development of an autonomous drone system as part of the ISRO Robotics Challenge (ASCEND), focusing on navigation, inspection, and data validation without external positioning systems. The system consists of a micro-UAV integrated with a downward-facing global shutter camera and ArUco marker-based localization for precise positioning and landing. A custom-designed base station is implemented to support autonomous docking, data transfer, and battery charging using a dual-plate interface powered by an IMAX B6 charger. The drone captures high-resolution terrain images during flight, which are processed and validated at the base station using computer-based image verification techniques. The system is designed to perform autonomous takeoff, survey, landing, and charging cycles, enabling repeated missions without human intervention. This approach aligns with future planetary exploration concepts, where aerial systems must operate independently to survey environments, identify features, and relay validated data efficiently.

Team Members :

Ansel Vivian Rego 1CR23EC017 

Akhila H 1CR23EC011

Arniya S 1CR23EC025

Priyam Patel 1CR23EC166

Current Status : Ongoing