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Fractional Order Darwinian Particle Swarm Optimization
This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.
Advances in Autonomous Robotics Systems
This book constitutes the refereed proceedings of the 15th Conference on Advances in Autonomous Robotics, TAROS 2014, held in Birmingham, UK, in September 2014. The 23 revised full papers presented together with 9 extended abstracts were carefully reviewed and selected from 48 submissions. The overall program covers various aspects of robotics, including navigation, planning, sensing and perception, flying and swarm robots, ethics, humanoid robotics, human-robot interaction, and social robotics.
SLAM and Localization of People with a Mobile Robot using a RGB-D Sensor
The evolution of Robotics lead us to aspire replacing human beings by autonomous robotic systems in the most discomforting or dangerous situations, and even to have them performing tasks that humans are incapable of. Such situations are often encountered when facing a catastrophic scenario and human rescue teams put themselves at risk in their heroic attempt to rescue victims. In nowadays society, the human life is highly valued and, consequently, Search and Rescue (SaR) missions became of extreme importance, precisely because their accomplishment can save several human lives. For that reason, rescue teams are heavily trained and, since they also comprise human beings, heavily equipped. Howe...
RobotTeamSim – 3D Visualization of Cooperative Mobile Robot Missions in Gazebo Virtual Environment
This dissertation intends to create a simulation of search and rescue (SaR) missions using Gazebo virtual world and Robot Operating System (ROS). The simulator is evaluated with multiple robots search using the Robotic Darwinian Particle Swarm Optimization (RDPSO) exploration algorithm, considering several real-world phenomena, such as radio frequency (RF) and voice. Although the RDPSO algorithm has already been developed and evaluated in Matlab environment, it cannot be directly implemented in real platforms. To address this disadvantage, ROS was chosen to implement the algorithm and, due to its compatibility with ROS, Gazebo was chosen as the simulation platform to evaluate multi-robot sys...
Robot 2019: Fourth Iberian Robotics Conference
This book gathers a selection of papers presented at ROBOT 2019 – the Fourth Iberian Robotics Conference, held in Porto, Portugal, on November 20th–22nd, 2019. ROBOT 2019 is part of a series of conferences jointly organized by the SPR – Sociedade Portuguesa de Robótica (Portuguese Society for Robotics) and SEIDROB – Sociedad Española para la Investigación y Desarrollo en Robótica (Spanish Society for Research and Development in Robotics). ROBOT 2019 built upon several previous successful events, including three biannual workshops and the three previous installments of the Iberian Robotics Conference, and chiefly focused on presenting the latest findings and applications in robotics from the Iberian Peninsula, although the event was also open to research and researchers from other countries. The event featured five plenary talks on state-of-the-art topics and 16 special sessions, plus a main/general robotics track. In total, after a stringent review process, 112 high-quality papers written by authors from 24 countries were selected for publication.
Mathematical Methods in Engineering
This book presents a careful selection of the contributions presented at the Mathematical Methods in Engineering (MME10) International Symposium, held at the Polytechnic Institute of Coimbra- Engineering Institute of Coimbra (IPC/ISEC), Portugal, October 21-24, 2010. The volume discusses recent developments about theoretical and applied mathematics toward the solution of engineering problems, thus covering a wide range of topics, such as: Automatic Control, Autonomous Systems, Computer Science, Dynamical Systems and Control, Electronics, Finance and Economics, Fluid Mechanics and Heat Transfer, Fractional Mathematics, Fractional Transforms and Their Applications, Fuzzy Sets and Systems, Image and Signal Analysis, Image Processing, Mechanics, Mechatronics, Motor Control and Human Movement Analysis, Nonlinear Dynamics, Partial Differential Equations, Robotics, Acoustics, Vibration and Control, and Wavelets.
MRsensing - Environmental Monitoring and Context Recognition with Cooperative Mobile Robots in Catastrophic Incidents
Multi-sensor information fusion theory concerns the environmental perception activities to combine data from multiple sensory resources. Humans, as any other animals, gather information from the environment around them using different biological sensors. Combining them allows structuring the decisions and actions when interacting with the environment. Under disaster conditions, effective mult-robot information sensor fusion can yield a better situation awareness to support the collective decision-making. Mobile robots can gather information from the environment by combining data from different sensors as a way to organize decisions and augment human perception. The is especially useful to re...
The Science of Golf Putting
This SpringerBrief explores the motor performance and biomechanics of golf putting, providing methodologies, studies and approaches to this concept. Presenting outcomes of research published over the past six years, it offers guidelines from a scientifically oriented perspective, and employs new technologies and mathematical methods to assess golf putting. The chapters cover aspects such as pendulum-like motion in sports, setting up the experimental design, and performance metrics for putting variables. Paving the way for an improved understanding of what leads to failure and success in golf putting, this book offers an invaluable reference source for sports scientists, engineers and mathematicians, as well as golfers.
Artificial Intelligence in Sport Performance Analysis
To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics.
PID Controller Design Approaches
First placed on the market in 1939, the design of PID controllers remains a challenging area that requires new approaches to solving PID tuning problems while capturing the effects of noise and process variations. The augmented complexity of modern applications concerning areas like automotive applications, microsystems technology, pneumatic mechanisms, dc motors, industry processes, require controllers that incorporate into their design important characteristics of the systems. These characteristics include but are not limited to: model uncertainties, system's nonlinearities, time delays, disturbance rejection requirements and performance criteria. The scope of this book is to propose different PID controllers designs for numerous modern technology applications in order to cover the needs of an audience including researchers, scholars and professionals who are interested in advances in PID controllers and related topics.
