Rui Rocha

Dr. Rui Rocha

Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, 3030-​290 Coimbra, Portugal
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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013
Verified
Conference Paper
Closed access
JSJoao Machado Santos
Joao Machado Santos
David PortugalDavid Portugal
David Portugal
Rui RochaRui Rocha
Rui Rocha
In this work, a study of several laser-based 2D Simultaneous Localization and Mapping (SLAM) techniques available in Robot Operating System (ROS) is conducted. All the approaches have been evaluated and compared in 2D simulations and real world experiments. In order to draw conclusions on the performance of the tested techniques, the experimental results were collected under the same conditions and a generalized performance metric based on the k-nearest neighbors concept was applied. Moreover, the CPU load of each technique is examined. This work provides insight on the weaknesses and strengths of each solution. Such analysis is fundamental to decide which solution to adopt according to the properties of the intended final application.

5 May 2012 in Signal, Image and Video Processing
Verified
Journal Article
Closed access
PDF file
Micael Santos CouceiroMicael Santos Couceiro
Micael Santos Couceiro
Rui RochaRui Rocha
Rui Rocha
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira
Jose Antonio Tenreiro MachadoJose Antonio Tenreiro Machado
Jose Antonio Tenreiro Machado

1 November 2011
Verified
Conference Paper
Closed access
Micael Santos CouceiroMicael Santos Couceiro
Micael Santos Couceiro
Rui RochaRui Rocha
Rui Rocha
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira
This paper proposes two extensions of Particle Swarm Optimization (PSO) and Darwinian Particle Swarm Optimization (DPSO), respectively named as RPSO (Robotic PSO) and RDPSO (Robotic DPSO), so as to adapt these promising biological-inspired techniques to the domain of multi-robot systems, by taking into account obstacle avoidance. These novel algorithms are demonstrated for groups of simulated robots performing a distributed exploration task. The concepts of social exclusion and social inclusion are used in the RDPSO algorithm as a “punish-reward” mechanism enhancing the ability to escape from local optima. Experimental results obtained in a simulated environment show that biological and sociological inspiration can be useful to meet the challenges of robotic applications that can be described as optimization problems (e.g. search and rescue).

1 December 2013 in Robotics and Autonomous Systems
Verified
Journal Article
Closed access
David PortugalDavid Portugal
David Portugal
Rui RochaRui Rocha
Rui Rocha

1 January 2011
Verified
Book Chapter
Open access
PDF file
David PortugalDavid Portugal
David Portugal
Rui RochaRui Rocha
Rui Rocha
This article presents a survey on cooperative multi-robot patrolling algorithms, which is a recent field of research. Every strategy proposed in the last decade is distinct and is normally based on operational research methods, simple and classic techniques for agent’s coordination or alternative, and usually more complex, coordination mechanisms like market-based approaches or reinforcement-learning. The variety of approaches differs in various aspects such as agent type and their decision-making or the coordination and communication mechanisms. Considering the current work concerning the patrolling problem with teams of robots, it is felt that there is still a great potential to take a step forward in the knowledge of this field, approaching well-known limitations in previous works that should be overcome.

13 October 2015 in Autonomous Robots
Verified
Journal Article
Closed access
PDF file
David PortugalDavid Portugal
David Portugal
Rui RochaRui Rocha
Rui Rocha