Research Area 2: Multi-Robot Cooperative Control, Sensing and Learning

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Introduction

Multi-robot systems have many potential applications in various fields such as target tracking, environmental monitoring, scalar field mapping, and intelligent transportation systems, etc. This project focuses on the development of collaborative control, learning and sensing algorithms to create smart multi-robot systems for real world applications.

Goals

  1. Development of adaptive formation control schemes, and collaborative learning and sensing algorithms for multi-robot systems
  2. Building a framework of hybrid systems consisting of UAVs and ground robots for environment mapping, sensing and monitoring
  3. Development of reliable security algorithms for drones

 

 Multi-robot cooperative learning for optimal field coverage

 

Reinforcement learning for autonomous drone navigation

 Dynamic Target Tracking with drone

 

Rovio Robots

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Publications