Multipurpose All Terrain Tract Robot

This paper presents the Multipurpose All Terrain Tract Robot (MATTR), an innovative and modular robotic platform engineered to address critical limitations in current outdoor robotic systems, such as poor terrain adaptability and high complexity. The primary objective of MATTR is to create a highly adaptable terrain navigation system with its AI driven object tracking system, a dual-mode control system that incorporates both autonomous and manual operation of the robot with its detachable modules while displaying real-time vision feedback to the control system on display. These objectives were possible due to its scalable Arduino Uno/Nano framework controlling the plug-and-play modularity which the current industries and research platforms are lacking. MATTR's evaluations showed its capability in navigating inclined surfaces, carrying loads, and maintaining consistent performance at speeds across diverse terrains, supported by a dual Hercules motors and computational framework that guarantees minimal latency in sensor data processing. MATTR demonstrates an increase in energy efficiency and augmentation in payload capacity relative to existing solutions. The robot's sophisticated vision-based tracking, sensor integration, and autonomous navigation render it appropriate for applications such as surveillance, search and rescue and industrial automation, establishing it as a revolutionary solution for both industry and academia.

Authors

Institutions

Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/icict64420.2025.11004872
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multipurpose All Terrain Tract Robot

C. Vimala, Yash Chauhan, Selva Prabu S, Wasim Ahamed M H
Modular Robots and Swarm Intelligence
article

Multipurpose All Terrain Tract Robot

C. Vimala, Yash Chauhan, Selva Prabu S, Wasim Ahamed M H
article en

Abstract

This paper presents the Multipurpose All Terrain Tract Robot (MATTR), an innovative and modular robotic platform engineered to address critical limitations in current outdoor robotic systems, such as poor terrain adaptability and high complexity. The primary objective of MATTR is to create a highly adaptable terrain navigation system with its AI driven object tracking system, a dual-mode control system that incorporates both autonomous and manual operation of the robot with its detachable modules while displaying real-time vision feedback to the control system on display. These objectives were possible due to its scalable Arduino Uno/Nano framework controlling the plug-and-play modularity which the current industries and research platforms are lacking. MATTR's evaluations showed its capability in navigating inclined surfaces, carrying loads, and maintaining consistent performance at speeds across diverse terrains, supported by a dual Hercules motors and computational framework that guarantees minimal latency in sensor data processing. MATTR demonstrates an increase in energy efficiency and augmentation in payload capacity relative to existing solutions. The robot's sophisticated vision-based tracking, sensor integration, and autonomous navigation render it appropriate for applications such as surveillance, search and rescue and industrial automation, establishing it as a revolutionary solution for both industry and academia.

SRM Institute of Science and Technology (IN)
Sustainable cities and communities
Openalex Percentile: Top 89%
Modular Robots and Swarm Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multipurpose All Terrain Tract Robot — C. Vimala, Yash Chauhan, et al. · (2025) | TGRS Research Map | TGRS