Related Experiment Video
Updated: May 3, 2026
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
Detection and tracking of dynamic objects by using a multirobot system: application to critical infrastructures
Gonzalo Rodríguez-Canosa1, Jaime del Cerro Giner2, Antonio Barrientos Cruz3
1Robotics and Cybernetics Research Group. Centre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, C/ José Gutierrez Abascal, 2, Madrid 28006, Spain. gonzalo.rcanosa@upm.es.
This study introduces novel algorithms for robot-based detection and tracking of mobile objects (DATMO) using a modular, multi-robot system. The approach enhances surveillance reliability in outdoor environments through independent detection and tracking modules.
Area of Science:
- Robotics
- Computer Vision
- Artificial Intelligence
Background:
- The detection and tracking of mobile objects (DATMO) is crucial for security and surveillance.
- Existing methods often integrate detection and tracking, limiting flexibility.
- Outdoor surveillance requires reliable object detection in wide environments.
Purpose of the Study:
- To propose new algorithms for collaborative multi-robot systems for DATMO.
- To develop a modular approach separating detection and tracking for enhanced flexibility.
- To achieve highly reliable object detection in wide outdoor environments.
Main Methods:
- Development of two distinct movement detection algorithms for dynamic objects.
- Implementation of a modular structure with independent detection and tracking procedures.
- Utilization of Kalman filters for object state prediction and novel tracking algorithms for data fusion.
Main Results:
- Demonstrated the effectiveness of a modular DATMO system for multi-robot collaboration.
- Achieved reliable object detection and tracking in wide outdoor settings.
- Showcased the complementary performance of separated detection and identification modules.
Conclusions:
- The proposed modular approach enhances the reliability and flexibility of DATMO systems.
- Collaborative multi-robot systems offer a robust solution for surveillance applications.
- Independent, modular algorithms provide a versatile framework for diverse detection and tracking needs.
