Marco Morales – författare

This book gathers the outcomes of the thirteenth Workshop on the Algorithmic Foundations of Robotics (WAFR), the premier event for showcasing cutting-edge research on algorithmic robotics. The latest WAFR, held at Universidad Politécnica de Yucatán in Mérida, México on December 9–11, 2018, continued this tradition. This book contains fifty-four papers presented at WAFR, which highlight the latest research on fundamental algorithmic robotics (e.g., planning, learning, navigation, control, manipulation, optimality, completeness, and complexity) demonstrated through several applications involving multi-robot systems, perception, and contact manipulation. Addressing a diverse range of topics in papers prepared by expert contributors, the book reflects the state of the art and outlines future directions in the field of algorithmic robotics.

This book gathers the outcomes of the thirteenth Workshop on the Algorithmic Foundations of Robotics (WAFR), the premier event for showcasing cutting-edge research on algorithmic robotics. The latest WAFR, held at Universidad Politécnica de Yucatán in Mérida, México on December 9–11, 2018, continued this tradition. This book contains fifty-four papers presented at WAFR, which highlight the latest research on fundamental algorithmic robotics (e.g., planning, learning, navigation, control, manipulation, optimality, completeness, and complexity) demonstrated through several applications involving multi-robot systems, perception, and contact manipulation. Addressing a diverse range of topics in papers prepared by expert contributors, the book reflects the state of the art and outlines future directions in the field of algorithmic robotics.

This book is the first volume of two that present research advances on algorithmic robotics written by leading experts in the field. Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, computer science and machine learning. Advances in this area have a wide range of applications in manufacturing, computational biology, medical robotics, sensor networks, human-robot interaction, virtual environments, and many other areas.These results were presented at the 16th edition of the International Workshop on the Algorithmic Foundations of Robotics (WAFR) held October 7-9, 2024 at the University of Illinois Discovery Partners Institute in the City of Chicago, Illinois, USA. This edition of WAFR also marked 30 years since its creation in 1994 as a small workshop. Since then, WAFR has established a reputation of being one of the most important venues for presenting cutting-edge research on algorithmic problems in robotics. Each of the 47 chapters in these two volumes presents an exciting contribution in algorithmic robotics spanning motion and task planning, geometry, multi-robot systems, game theoretic algorithms, control, reinforcement learning,  robot design and dynamics, planning with beliefs, minimalism, manipulation, planning with ``interesting'' goals, and perception, localization, and communication.

This book is the first volume of two that present research advances on algorithmic robotics written by leading experts in the field. Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, computer science and machine learning. Advances in this area have a wide range of applications in manufacturing, computational biology, medical robotics, sensor networks, human-robot interaction, virtual environments, and many other areas.These results were presented at the 16th edition of the International Workshop on the Algorithmic Foundations of Robotics (WAFR) held October 7-9, 2024 at the University of Illinois Discovery Partners Institute in the City of Chicago, Illinois, USA. This edition of WAFR also marked 30 years since its creation in 1994 as a small workshop. Since then, WAFR has established a reputation of being one of the most important venues for presenting cutting-edge research on algorithmic problems in robotics. Each of the 47 chapters in these two volumes presents an exciting contribution in algorithmic robotics spanning motion and task planning, geometry, multi-robot systems, game theoretic algorithms, control, reinforcement learning,  robot design and dynamics, planning with beliefs, minimalism, manipulation, planning with ``interesting' goals, and perception, localization, and communication.

This book is the second volume of two that present research advances on algorithmic robotics written by leading experts in the field. Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, computer science and machine learning. Advances in this area have a wide range of applications in manufacturing, computational biology, medical robotics, sensor networks, human-robot interaction, virtual environments, and many other areas.These results were presented at the 16th edition of the International Workshop on the Algorithmic Foundations of Robotics (WAFR) held October 7-9, 2024 at the University of Illinois Discovery Partners Institute in the City of Chicago, Illinois, USA. This edition of WAFR also marked 30 years since its creation in 1994 as a small workshop. Since then, WAFR has established a reputation of being one of the most important venues for presenting cutting-edge research on algorithmic problems in robotics. Each of the 47 chapters in these two volumes presents an exciting contribution in algorithmic robotics spanning motion and task planning, geometry, multi-robot systems, game theoretic algorithms, control, reinforcement learning,  robot design and dynamics, planning with beliefs, minimalism, manipulation, planning with ``interesting'' goals, and perception, localization, and communication.

This book is the second volume of two that present research advances on algorithmic robotics written by leading experts in the field. Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of robot algorithms therefore raises a unique combination of questions in control theory, computational and differential geometry, computer science and machine learning. Advances in this area have a wide range of applications in manufacturing, computational biology, medical robotics, sensor networks, human-robot interaction, virtual environments, and many other areas.These results were presented at the 16th edition of the International Workshop on the Algorithmic Foundations of Robotics (WAFR) held October 7-9, 2024 at the University of Illinois Discovery Partners Institute in the City of Chicago, Illinois, USA. This edition of WAFR also marked 30 years since its creation in 1994 as a small workshop. Since then, WAFR has established a reputation of being one of the most important venues for presenting cutting-edge research on algorithmic problems in robotics. Each of the 47 chapters in these two volumes presents an exciting contribution in algorithmic robotics spanning motion and task planning, geometry, multi-robot systems, game theoretic algorithms, control, reinforcement learning,  robot design and dynamics, planning with beliefs, minimalism, manipulation, planning with ``interesting' goals, and perception, localization, and communication.

By the dawn of the new millennium,robotics has undergonea major transformation in scope and dimensions. This expansion has been broughtabout by the maturity of the ?eld and the advances in its related technologies. From a largely dominant - dustrial focus, roboticshas been rapidly expandinginto the challengesof the human world.The new generationofrobotsis expectedto safely anddependablyco-habitat withhumansinhomes,workplaces,andcommunities,providingsupportinservices, entertainment, education, healthcare, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has p- duced is revealing a much wider range of applications reaching across diverse research areas and scienti?c disciplines, such as: biomechanics, haptics, neu- sciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the ?eld of robotics. It is indeed at the intersection of disciplines that the most striking advances happen.The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their signi?cance and quality. It is our hope that the wider dissemination of research developmentswill stimulate more exchangesand collaborationsamongthe research community and contribute to further advancement of this rapidly growing ?eld. This volume is the outcome of the eight edition of the biennial Workshop Al- rithmic Foundations of Robotics (WAFR). Edited by G. Chirikjian, H. Choset, M.