Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots by Tomasz Piotr Kucner
This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is constantly changing.-
Visual Perception for Manipulation and Imitation in Humanoid Robots
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Symbiotic Multi-Robot Organisms
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Space-Time Continuous Models of Swarm Robotic Systems
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Cognitive Systems
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Human Centered Robot Systems
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Prosopagnosia
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Abductive Cognition
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Visual Perception for Humanoid Robots
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Consensual Illusion: The Mind in Virtual Reality
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The Psychology of Artificial Superintelligence
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Multimodal Computational Attention for Scene Understanding and Robotics
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Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots
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Anticipation Across Disciplines
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Knowledge Representations for Planning Manipulation Tasks
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Advances in Cognitive Information Systems
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Metrics of Sensory Motor Coordination and Integration in Robots and Animals
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From Robot to Human Grasping Simulation
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The Playful Machine
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Animation and Performance Capture Using Digitized Models
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The Evolved Athlete: A Guide for Elite Sport Enhancement
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Eco-Cognitive Computationalism
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Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems
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Complex Sports Biodynamics
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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
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New Development in Robot Vision
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Paradigm Shift for Future Tennis
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Enhancing Performance and Reducing Stress in Sports: Technological Advances
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Epigenetics and Anticipation
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Tactile Perception of Textiles in a Virtual-Reality System
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From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition
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Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II
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Modeling, Simulation and Optimization of Bipedal Walking
The purpose of this book is to provide an idea for motion planning of robots realizing tasks in unknown environment and self-control their workThe book should be of interest to master and Ph.D. students as well as practicing and research engineers in the field of robotics. (Clementina Mladenova, zbMATH 1478.93002, 2022)
Tomasz Piotr Kucner received his B.Sc. in Computer Management Systems inManufacturing (2011) and M.Sc. in Robotics (2012) at Wroclaw University of Tech-nology. In 2018, he received a tekn. dr. (Ph. D.) degree from Örebro University.During his PhD studies he was part of KKS research project ALLO and EU FP7research rpoject SPENCER. His work in these projects was focussed on buildingspatial models of dynamics. Dr. Kucner currently works as Post-doctoral researcherin the Mobile Robotics & Olfaction lab of AASS at Örebro University, Sweden. He ismainly involved in the EU H2020 research project ILIAD, where he is working withmethods for automatic map quality assessment and building spatio-temporal modelsof dynamics.
Achim J. Lilienthal is full professor of Computer Science at Örebro Universitywhere he leads the Mobile Robotics and Olfaction (MRO) Lab. His core researchinterests are perception systems in unconstrained, dynamic environments. Typicallybased on approaches that leverage domain knowledge and Artificial Intelligence, hisresearch work addresses rich 3D perception and navigation of autonomous transportrobots, mobile robot olfaction, human robot interaction and mathematics educationresearch. Achim J. Lilienthal obtained his Ph.D. in computer science from TübingenUniversity. The Ph.D. thesis addresses gas distribution mapping and gas source lo-calisation with mobile robots. He has published more than 250 refereed conferencepapers and journal articles and is senior member of IEEE.
Martin Magnusson is currently docent (associate professor) in Computer Scienceat the Center of Applied Autonomous Sensor Systems (AASS), Örebro University,Sweden. He received his M.Sc. degree in Computer Science from Uppsala University,Sweden, in 2004 and Ph.D. degree from Örebro University in 2009. Dr. Magnussonhas been vice-chair of the working group for the IEEE/RAS standards for 2D and 3Dmap representations and is deputy chair for the eu-Robotics topic group on robotsfor logistics and transport. His research interests include 3D perception (includingefficient and versatile 3D surface representations), creation and usage of robot mapsthat go beyond mere geometry, and methods for making use of heterogeneous mapswith high uncertainty.
Luigi Palmieri is a research scientist at Robert Bosch GmbH - Corporate Re-search. His research focuses currently on the topic of motion planning and control incluttered and dynamic environments for wheeled mobile robotics, machine learningand social-navigation. He earned his PhD degree in robot motion planning from theUniversity of Freiburg, Germany. During his PhD he was responsible for the motionplanning task of the EU FP7 project Spencer. He currently has the same responsi-bility in the EU H2020 project ILIAD. He has co-authored multiple papers at RA-L,ICRA, IROS, IJRR, FSR about combinations of motion planning with control, search,machine learning and human motion prediction.
Chittaranjan Srinivas Swaminathan is a doctoral student in Computer Scienceat Örebro University, Sweden. He received his M.Sc. degree in Computer Sciencefrom Örebro University in June, 2017, and his Bachelor of Technology in Mecha-tronics from SASTRA University, Thanjavur, India, in September, 2012. His interestsinclude motion planning, control and multi-agent coordination in dynamic environ-ments. He is also involved in the software integration and motion planning tasks inthe EU H2020 project ILIAD.
Achim J. Lilienthal is full professor of Computer Science at Örebro Universitywhere he leads the Mobile Robotics and Olfaction (MRO) Lab. His core researchinterests are perception systems in unconstrained, dynamic environments. Typicallybased on approaches that leverage domain knowledge and Artificial Intelligence, hisresearch work addresses rich 3D perception and navigation of autonomous transportrobots, mobile robot olfaction, human robot interaction and mathematics educationresearch. Achim J. Lilienthal obtained his Ph.D. in computer science from TübingenUniversity. The Ph.D. thesis addresses gas distribution mapping and gas source lo-calisation with mobile robots. He has published more than 250 refereed conferencepapers and journal articles and is senior member of IEEE.
Martin Magnusson is currently docent (associate professor) in Computer Scienceat the Center of Applied Autonomous Sensor Systems (AASS), Örebro University,Sweden. He received his M.Sc. degree in Computer Science from Uppsala University,Sweden, in 2004 and Ph.D. degree from Örebro University in 2009. Dr. Magnussonhas been vice-chair of the working group for the IEEE/RAS standards for 2D and 3Dmap representations and is deputy chair for the eu-Robotics topic group on robotsfor logistics and transport. His research interests include 3D perception (includingefficient and versatile 3D surface representations), creation and usage of robot mapsthat go beyond mere geometry, and methods for making use of heterogeneous mapswith high uncertainty.
Luigi Palmieri is a research scientist at Robert Bosch GmbH - Corporate Re-search. His research focuses currently on the topic of motion planning and control incluttered and dynamic environments for wheeled mobile robotics, machine learningand social-navigation. He earned his PhD degree in robot motion planning from theUniversity of Freiburg, Germany. During his PhD he was responsible for the motionplanning task of the EU FP7 project Spencer. He currently has the same responsi-bility in the EU H2020 project ILIAD. He has co-authored multiple papers at RA-L,ICRA, IROS, IJRR, FSR about combinations of motion planning with control, search,machine learning and human motion prediction.
Chittaranjan Srinivas Swaminathan is a doctoral student in Computer Scienceat Örebro University, Sweden. He received his M.Sc. degree in Computer Sciencefrom Örebro University in June, 2017, and his Bachelor of Technology in Mecha-tronics from SASTRA University, Thanjavur, India, in September, 2012. His interestsinclude motion planning, control and multi-agent coordination in dynamic environ-ments. He is also involved in the software integration and motion planning tasks inthe EU H2020 project ILIAD.
| SKU | Unavailable |
| ISBN 13 | 9783030418076 |
| ISBN 10 | 3030418073 |
| Title | Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots |
| Author | Tomasz Piotr Kucner |
| Series | Cognitive Systems Monographs |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-03-29 |
| Number of pages | 151 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |