DOCSLIB.ORG

2020 Multi-Annual Roadmap for Robotics in Europe

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
2020 Multi-Annual Roadmap for Robotics in Europe Robotics 2020 Multi-Annual Roadmap For Robotics in Europe Horizon 2020 Call ICT-2016 (ICT-25 & ICT-26) Release B 03/12/2015 Rev A: Initial release for Comment. Rev B: Final Release for Call Contents In this MAR Release… ................................................................................................................. i 1. Introduction ............................................................................................................................. 1 1.1 MAR Content ...................................................................................................................... 2 1.2 Reading the Roadmap........................................................................................................ 2 1.2.1. Why read this document? ................................................................................................ 2 1.3 Understanding the MAR .................................................................................................... 4 1.3.1. MAR Background............................................................................................................... 4 1.3.2. Structure of the MAR ....................................................................................................... 5 1.3.3. Technical Progression in the MAR ................................................................................. 6 1.3.4. Use of the MAR in Proposals .......................................................................................... 7 1.3.5. Focus within ICT-25 & ICT-26 ........................................................................................ 8 1.3.6. Step Changes and TRLs .................................................................................................... 8 1.3.7. MAR Summary ................................................................................................................... 9 2. Markets and Applications ................................................................................................... 11 2.1.1. Application Domains ....................................................................................................... 11 2.2 Manufacturing Domain .................................................................................................. 12 2.2.1. Domain Overview............................................................................................................ 12 2.2.2. Current and Future Opportunity .................................................................................. 12 2.2.3. Barriers to Market ........................................................................................................... 12 2.2.4. Key Market Data.............................................................................................................. 13 2.2.5. Relationship to other Domains and Markets ............................................................. 13 2.2.6. Europe’s Place in the Market ........................................................................................ 13 2.2.7. Key Stakeholders ............................................................................................................. 13 2.2.8. Current Key Projects....................................................................................................... 14 2.2.9. European Products .......................................................................................................... 15 2.2.10. Manufacturing Sub-Domains: ..................................................................................... 15 2.2.11. Key System Ability Targets ......................................................................................... 18 2.2.12. Key Technology Targets .............................................................................................. 23 2.2.13. Technology Combinations ........................................................................................... 26 2.2.14. Product Visions .............................................................................................................. 27 2.3 Healthcare ........................................................................................................................ 28 2.3.1. Domain Overview............................................................................................................ 28 2.3.2. Current and Future Opportunity .................................................................................. 29 2.3.3. Relationship to other Domains and Markets ............................................................. 34 2.3.4. Unknowns ......................................................................................................................... 34 2.3.5. Key Market Data.............................................................................................................. 35 MAR 2016 (ICT-25 & ICT-26) ii 2.3.6. Key System Abilities ........................................................................................................ 40 2.3.7. Key Technology Targets................................................................................................. 44 2.3.8. Key Technology Combinations ..................................................................................... 54 2.3.9. Current Key Projects....................................................................................................... 55 2.4 Agriculture Domain ......................................................................................................... 59 2.4.1. Domain Overview............................................................................................................ 59 2.4.2. Current and Future Opportunity .................................................................................. 61 2.4.3. Barriers to Market ........................................................................................................... 62 2.4.4. Key Market Data.............................................................................................................. 62 2.4.5. Relationship to other domains and markets............................................................... 64 2.4.6. Europe’s Place in the Market ........................................................................................ 64 2.4.7. Key Stakeholders ............................................................................................................. 64 2.4.8. Current Key Projects....................................................................................................... 65 2.4.9. European Products .......................................................................................................... 66 2.4.10. Agriculture ...................................................................................................................... 66 2.4.11. Forestry ........................................................................................................................... 67 2.4.12. Fisheries .......................................................................................................................... 67 2.4.13. Key System Ability Targets ......................................................................................... 67 2.4.14. Key Technology Targets .............................................................................................. 71 2.4.15. Technology Combinations ........................................................................................... 73 2.4.16. Product Visions .............................................................................................................. 74 2.5 Civil Domain ..................................................................................................................... 75 2.5.1. Domain Overview............................................................................................................ 75 2.5.2. Current and Future Opportunity .................................................................................. 76 2.5.3. Barriers to Market ........................................................................................................... 78 2.5.4. Key Market Data.............................................................................................................. 79 2.5.5. Relationship to other Domains and Markets ............................................................. 79 2.5.6. Europe's Place in the Market ........................................................................................ 80 2.5.7. Key Stakeholders ............................................................................................................. 80 2.5.8. Current Key Projects....................................................................................................... 81 2.5.9. European Products .......................................................................................................... 82 2.5.10. Civil Infrastructure ........................................................................................................ 82 2.5.11. Search and Rescue ........................................................................................................ 84 2.5.12. Environment ................................................................................................................... 85 2.5.13. Law Enforcement .........................................................................................................
Load more

Recommended publications
  • Artificial Intelligence and the Ethics of Self-Learning Robots Shannon Vallor Santa Clara University, [email protected]
    Santa Clara University Scholar Commons Philosophy College of Arts & Sciences 10-3-2017 Artificial Intelligence and the Ethics of Self-learning Robots Shannon Vallor Santa Clara University, [email protected] George A. Bekey Follow this and additional works at: http://scholarcommons.scu.edu/phi Part of the Philosophy Commons Recommended Citation Vallor, S., & Bekey, G. A. (2017). Artificial Intelligence and the Ethics of Self-learning Robots. In P. Lin, K. Abney, & R. Jenkins (Eds.), Robot Ethics 2.0 (pp. 338–353). Oxford University Press. This material was originally published in Robot Ethics 2.0 edited by Patrick Lin, Keith Abney, and Ryan Jenkins, and has been reproduced by permission of Oxford University Press. For permission to reuse this material, please visit http://www.oup.co.uk/academic/rights/permissions. This Book Chapter is brought to you for free and open access by the College of Arts & Sciences at Scholar Commons. It has been accepted for inclusion in Philosophy by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. ARTIFICIAL INTELLIGENCE AND 22 THE ETHICS OF SELF - LEARNING ROBOTS Shannon Va ll or and George A. Bekey The convergence of robotics technology with the science of artificial intelligence (or AI) is rapidly enabling the development of robots that emulate a wide range of intelligent human behaviors.1 Recent advances in machine learning techniques have produced significant gains in the ability of artificial agents to perform or even excel in activities for­ merly thought to be the exclusive province of human intelligence, including abstract problem-solving, perceptual recognition, social interaction, and natural language use.
    [Show full text]
  • Modeling and Control of Underwater Robotic Systems
    Modeling and Control of Underwater Robotic Systems Dr.ing. thesis Ingrid Schj0lberg Department of Engineering Cybernetics Norwegian University of Science and Technology March 1996 Report 96-21-W Department of Engineering Cybernetics Norwegian University of Science and Technology N-7034 Trondheim, Norway OBmetmoN of im doombst b mwia DISCLAI R Portions of tins document may be Illegible in electronic image products. Images are produced from the best available original document Preface This thesis is submitted for the Doktor ingenipr degree at the Norwegian University of Science and Technology (NTNU). The research was carried out at the Norwegian Institute of Technology (NTH), Department of Engi ­ neering Cybernetics, in the period from January 1991 to March 1996. The work was funded by The Research Council of Norway (NFR) through the MOBATEL project. Professor Dr.ing. Olav Egeland was my supervisor. During the academic year 1992-1993 I worked at the European Organization for Nuclear Research (CERN). This stay was funded by TOTAL Norge. The work performed during this stay has not been included in this thesis. I am indebted to Professor Egeland for giving me the opportunity to take this study. I am also grateful for advice and comments during the writing of scientific articles and for the introduction to the fields of force control and vibration damping. I am thankful to the administrator of the MOBATEL project, Professor Jens G. Balchen, for letting me take part in this project. I am grateful to Professor Dr.ing. Thor I. Fossen for useful discussions on hydrodynamics. I want to express my gratitude to Dr.ing.
    [Show full text]
  • A Novel Concept for the Study of Heterogeneous Robotic Swarms
    Swarmanoid: a novel concept for the study of heterogeneous robotic swarms M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. L. Christensen, A. Decugni`ere, G. Di Caro, F. Ducatelle, E. Ferrante, A. F¨orster, J. Martinez Gonzales, J. Guzzi, V. Longchamp, S. Magnenat, N. Mathews, M. Montes de Oca, R. O’Grady, C. Pinciroli, G. Pini, P. R´etornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. St¨utzle, V. Trianni, E. Tuci, A. E. Turgut, and F. Vaussard. IRIDIA – Technical Report Series Technical Report No. TR/IRIDIA/2011-014 July 2011 IRIDIA – Technical Report Series ISSN 1781-3794 Published by: IRIDIA, Institut de Recherches Interdisciplinaires et de D´eveloppements en Intelligence Artificielle Universite´ Libre de Bruxelles Av F. D. Roosevelt 50, CP 194/6 1050 Bruxelles, Belgium Technical report number TR/IRIDIA/2011-014 The information provided is the sole responsibility of the authors and does not necessarily reflect the opinion of the members of IRIDIA. The authors take full responsibility for any copyright breaches that may result from publication of this paper in the IRIDIA – Technical Report Series. IRIDIA is not responsible for any use that might be made of data appearing in this publication. IEEE ROBOTICS & AUTOMATION MAGAZINE, VOL. X, NO. X, MONTH 20XX 1 Swarmanoid: a novel concept for the study of heterogeneous robotic swarms Marco Dorigo, Dario Floreano, Luca Maria Gambardella, Francesco Mondada, Stefano Nolfi, Tarek Baaboura,
    [Show full text]
  • 1 Design of a Low-Cost, Highly Mobile Urban Search and Rescue Robot
    Design of a Low-Cost, Highly Mobile Urban Search and Rescue Robot Bradley E. Bishop * Frederick L. Crabbe Bryan M. Hudock United States Naval Academy 105 Maryland Ave (Stop 14a) Annapolis, MD 21402 [email protected] Keywords: Rescue Robotics, Mobile Robotics, Locomotion, Physical Simulation, Genetic Algorithms Abstract— In this paper, we discuss the design of a novel robotic platform for Urban Search and Rescue (USAR). The system developed possesses unique mobility capabilities based on a new adjustable compliance mechanism and overall locomotive morphology. The main facets of this work involve the morphological concepts, initial design and construction of a prototype vehicle, and a physical simulation to be used for developing controllers for semi-autonomous (supervisory) operation. I. INTRODUCTION Recovering survivors from a collapsed building has proven to be one of the more daunting challenges that face rescue workers in today’s world. Survivors trapped in a rubble pile generally have 48 hours before they will succumb to dehydration and the elements [1]. Unfortunately, the environment of urban search and rescue (USAR) does not lend itself to speedy reconnaissance or retrieval. The terrain is extremely unstable and the spaces for exploration are often irregular in nature and very confined. Though these challenges often make human rescue efforts deep within the rubble pile prohibitive, a robot designed for urban search and rescue would be very well suited to the problem. Robots have already proven their worth in urban search and rescue, most notably in the aftermath of the September 11 th , 2001 disaster. The combined efforts of Professor Robin Murphy, 1 a computer scientist at the University of South Florida, and Lt.
    [Show full text]
  • Moving Domestic Robotics Control Method Based on Creating and Sharing Maps with Shortest Path Findings and Obstacle Avoidance Utilization of Place Indentifier: PI
    (IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol. 2, No. 2, 2013 Moving Domestic Robotics Control Method Based on Creating and Sharing Maps with Shortest Path Findings and Obstacle Avoidance Utilization of Place Indentifier: PI Kohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan Abstract—Control method for moving robotics in closed areas evaluated the telerobotic interface components for teaching based on creation and sharing maps through shortest path robot operation [4]. They evaluated the control method of the findings and obstacle avoidance is proposed. Through simulation robotic arm and the use of three alternative interface designs study, a validity of the proposed method is confirmed. for robotic operation in the remote learning. Another system Furthermore, the effect of map sharing among robotics is also has been proposed by He Qingyun et all [5]. They created an confirmed together with obstacle avoidance with cameras and embedded system of video capture and the transmission for ultrasonic sensors. monitoring wheelchair-bed service robots remotely. The embedded linux, S3C2410AL microprocessor, AppWeb 3.0 Keywords-domestic robotics; obstacle avoidance; place server, and block-matching motion estimation were taken into identifierl ultrasonic sensor; web camera account for obtaining better video compression data. The I. INTRODUCTION remote control robot system with a hand-held controller has been proposed by Dmitry Bagayev et all [6]. The dog robot for Domestic robotics utilizing services are available in accompanying the elderly has been proposed by Wei-Dian Lai hospitals, group homes, private homes, etc. Domestic robot [7]. The improved interaction technique between users and the has camera image acquisition and voice output capability.
    [Show full text]
  • Verifying Autonomous Robots
    Verifying Autonomous Robots: Challenges and Reflections Clare Dixon Department of Computer Science, The University of Manchester, UK https://www.research.manchester.ac.uk/portal/clare.dixon.html [email protected] Abstract Autonomous robots such as robot assistants, healthcare robots, industrial robots, autonomous vehicles etc. are being developed to carry out a range of tasks in different environments. The robots need to be able to act autonomously, choosing between a range of activities. They may be operating close to or in collaboration with humans, or in environments hazardous to humans where the robot is hard to reach if it malfunctions. We need to ensure that such robots are reliable, safe and trustworthy. In this talk I will discuss experiences from several projects in developing and applying verification techniques to autonomous robotic systems. In particular we consider: a robot assistant in a domestic house, a robot co-worker for a cooperative manufacturing task, multiple robot systems and robots operating in hazardous environments. 2012 ACM Subject Classification Computer systems organization → Dependable and fault-tolerant systems and networks; Software and its engineering → Software verification and validation; Theory of computation → Logic Keywords and phrases Verification, Autonomous Robots Digital Object Identifier 10.4230/LIPIcs.TIME.2020.1 Category Invited Talk Funding Clare Dixon: This work was funded by the Engineering and Physical Sciences Research Council (EPSRC) under the grants Trustworthy Robot Systems (EP/K006193/1) and Science of Sensor Systems Software (S4 EP/N007565/1) and by the UK Industrial Strategy Challenge Fund (ISCF), delivered by UKRI and managed by EPSRC under the grants Future AI and Robotics Hub for Space (FAIR-SPACE EP/R026092/1) and Robotics and Artificial Intelligence for Nuclear (RAIN EP/R026084/1).
    [Show full text]
  • CNT Technical Interchange Meeting
    Realizing the Promise of Carbon Nanotubes National Science and Technology Council, Committee on Technology Challenges, Oppor tunities, and the Path w a y to Subcommittee on Nanoscale Science, Engineering, and Technology Commer cializa tion Technical Interchange Proceedings September 15, 2014 National Nanotechnology Coordination Office 4201 Wilson Blvd. Stafford II, Rm. 405 Arlington, VA 22230 703-292-8626 [email protected] www.nano.gov Applications Commercial Product Characterization Synthesis and Processing Modeling About the National Nanotechnology Initiative The National Nanotechnology Initiative (NNI) is a U.S. Government research and development (R&D) initiative involving 20 Federal departments, independent agencies, and independent commissions working together toward the shared and challenging vision of a future in which the ability to understand and control matter at the nanoscale leads to a revolution in technology and industry that benefits society. The combined, coordinated efforts of these agencies have accelerated discovery, development, and deployment of nanotechnology to benefit agency missions in service of the broader national interest. About the Nanoscale Science, Engineering, and Technology Subcommittee The Nanoscale Science, Engineering, and Technology (NSET) Subcommittee is the interagency body responsible for coordinating, planning, implementing, and reviewing the NNI. NSET is a subcommittee of the Committee on Technology (CoT) of the National Science and Technology Council (NSTC), which is one of the principal means by which the President coordinates science and technology policies across the Federal Government. The National Nanotechnology Coordination Office (NNCO) provides technical and administrative support to the NSET Subcommittee and supports the Subcommittee in the preparation of multiagency planning, budget, and assessment documents, including this report.
    [Show full text]
  • Design and Evaluation of Modular Robots for Maintenance in Large Scientific Facilities
    UNIVERSIDAD POLITÉCNICA DE MADRID ESCUELA TÉCNICA SUPERIOR DE INGENIEROS INDUSTRIALES DESIGN AND EVALUATION OF MODULAR ROBOTS FOR MAINTENANCE IN LARGE SCIENTIFIC FACILITIES PRITHVI SEKHAR PAGALA, MSC 2014 DEPARTAMENTO DE AUTOMÁTICA, INGENIERÍA ELECTRÓNICA E INFORMÁTICA INDUSTRIAL ESCUELA TÉCNICA SUPERIOR DE INGENIEROS INDUSTRIALES DESIGN AND EVALUATION OF MODULAR ROBOTS FOR MAINTENANCE IN LARGE SCIENTIFIC FACILITIES PhD Thesis Author: Prithvi Sekhar Pagala, MSC Advisors: Manuel Ferre Perez, PhD Manuel Armada, PhD 2014 DESIGN AND EVALUATION OF MODULAR ROBOTS FOR MAINTENANCE IN LARGE SCIENTIFIC FACILITIES Author: Prithvi Sekhar Pagala, MSC Tribunal: Presidente: Dr. Fernando Matía Espada Secretario: Dr. Claudio Rossi Vocal A: Dr. Antonio Giménez Fernández Vocal B: Dr. Juan Antonio Escalera Piña Vocal C: Dr. Concepción Alicia Monje Micharet Suplente A: Dr. Mohamed Abderrahim Fichouche Suplente B: Dr. José Maráa Azorín Proveda Acuerdan otorgar la calificación de: Madrid, de de 2014 Acknowledgements The duration of the thesis development lead to inspiring conversations, exchange of ideas and expanding knowledge with amazing individuals. I would like to thank my advisers Manuel Ferre and Manuel Armada for their constant men- torship, support and motivation to pursue different research ideas and collaborations during the course of entire thesis. The team at the lab has not only enriched my professionally life but also in Spanish ways. Thank you all the members of the ROMIN, Francisco, Alex, Jose, Jordi, Ignacio, Javi, Chema, Luis .... This research project has been supported by a Marie Curie Early Stage Initial Training Network Fellowship of the European Community’s Seventh Framework Program "PURESAFE". I wish to thank the supervisors and fellow research members of the project for the amazing support, fruitful interactions and training events.
    [Show full text]
  • Carbon Nanotube Research Developments in Terms of Published Papers and Patents, Synthesis and Production
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Scientia Iranica F (2012) 19 (6), 2012–2022 Sharif University of Technology Scientia Iranica Transactions F: Nanotechnology www.sciencedirect.com Carbon nanotube research developments in terms of published papers and patents, synthesis and production H. Golnabi ∗ Institute of Water and Energy, Sharif University of Technology, Tehran, P.O. Box 11555-8639, Iran Received 16 April 2012; revised 12 May 2012; accepted 10 October 2012 KEYWORDS Abstract Progress of carbon nanotube (CNT) research and development in terms of published papers and Published references; patents is reported. Developments concerning CNT structures, synthesis, and major parameters, in terms Paper; of the published documents are surveyed. Publication growth of CNTs and related fields are analyzed for Patent; the period of 2000–2010. From the explored search term, ``carbon nanotubes'', the total number of papers Nanotechnology; containing the CNT concept is 52,224, and for patents is 5,746, with a patent/paper ratio of 0.11. For CNT Synthesis. research in the given period, an annual increase of 8.09% for paper and 8.68% for patents are resulted. Pub- lished papers for CNT, CVD and CCVD synthesis parameters for the period of 2000–2010 are compared. In other research, publications for CNT laser synthesis, for the period of 2000–2010, are reviewed. Publica- tions for major laser parameters in CNT synthesis for the period of 2000–2010 are described. The role of language of the published references for CNT research for the period of 2000–2010 is also investigated.
    [Show full text]
  • An Ethical Framework for Smart Robots Mika Westerlund
    An Ethical Framework for Smart Robots Mika Westerlund Never underestimate a droid. Leia Organa Star Wars: The Rise of Skywalker This article focuses on “roboethics” in the age of growing adoption of smart robots, which can now be seen as a new robotic “species”. As autonomous AI systems, they can collaborate with humans and are capable of learning from their operating environment, experiences, and human behaviour feedback in human-machine interaction. This enables smart robots to improve their performance and capabilities. This conceptual article reviews key perspectives to roboethics, as well as establishes a framework to illustrate its main ideas and features. Building on previous literature, roboethics has four major types of implications for smart robots: 1) smart robots as amoral and passive tools, 2) smart robots as recipients of ethical behaviour in society, 3) smart robots as moral and active agents, and 4) smart robots as ethical impact-makers in society. The study contributes to current literature by suggesting that there are two underlying ethical and moral dimensions behind these perspectives, namely the “ethical agency of smart robots” and “object of moral judgment”, as well as what this could look like as smart robots become more widespread in society. The article concludes by suggesting how scientists and smart robot designers can benefit from a framework, discussing the limitations of the present study, and proposing avenues for future research. Introduction capabilities (Lichocki et al., 2011; Petersen, 2007). Hence, Lin et al. (2011) define a “robot” as an Robots are becoming increasingly prevalent in our engineered machine that senses, thinks, and acts, thus daily, social, and professional lives, performing various being able to process information from sensors and work and household tasks, as well as operating other sources, such as an internal set of rules, either driverless vehicles and public transportation systems programmed or learned, that enables the machine to (Leenes et al., 2017).
    [Show full text]
  • Pdf • Cynthia Breazeal
    © copyright by Christoph Bartneck, Tony Belpaeime, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, and Selma Sabanovic 2019. https://www.human-robot-interaction.org Human{Robot Interaction An Introduction Christoph Bartneck, Tony Belpaeme, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, Selma Sabanovi´cˇ This material has been published by Cambridge University Press as Human Robot Interaction by Christoph Bartneck, Tony Belpaeime, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, and Selma Sabanovic. ISBN: 9781108735407 (http://www.cambridge.org/9781108735407). This pre-publication version is free to view and download for personal use only. Not for re-distribution, re-sale or use in derivative works. © copyright by Christoph Bartneck, Tony Belpaeime, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, and Selma Sabanovic 2019. https://www.human-robot-interaction.org This material has been published by Cambridge University Press as Human Robot Interaction by Christoph Bartneck, Tony Belpaeime, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, and Selma Sabanovic. ISBN: 9781108735407 (http://www.cambridge.org/9781108735407). This pre-publication version is free to view and download for personal use only. Not for re-distribution, re-sale or use in derivative works. © copyright by Christoph Bartneck, Tony Belpaeime, Friederike Eyssel, Takayuki Kanda, Merel Keijsers, and Selma Sabanovic 2019. https://www.human-robot-interaction.org Contents List of illustrations viii List of tables xi 1 Introduction 1 1.1 About this book 1 1.2 Christoph
    [Show full text]
  • Special Feature on Advanced Mobile Robotics
    applied sciences Editorial Special Feature on Advanced Mobile Robotics DaeEun Kim School of Electrical and Electronic Engineering, Yonsei University, Shinchon, Seoul 03722, Korea; [email protected] Received: 29 October 2019; Accepted: 31 October 2019; Published: 4 November 2019 1. Introduction Mobile robots and their applications are involved with many research fields including electrical engineering, mechanical engineering, computer science, artificial intelligence and cognitive science. Mobile robots are widely used for transportation, surveillance, inspection, interaction with human, medical system and entertainment. This Special Issue handles recent development of mobile robots and their research, and it will help find or enhance the principle of robotics and practical applications in real world. The Special Issue is intended to be a collection of multidisciplinary work in the field of mobile robotics. Various approaches and integrative contributions are introduced through this Special Issue. Motion control of mobile robots, aerial robots/vehicles, robot navigation, localization and mapping, robot vision and 3D sensing, networked robots, swarm robotics, biologically-inspired robotics, learning and adaptation in robotics, human-robot interaction and control systems for industrial robots are covered. 2. Advanced Mobile Robotics This Special Issue includes a variety of research fields related to mobile robotics. Initially, multi-agent robots or multi-robots are introduced. It covers cooperation of multi-agent robots or formation control. Trajectory planning methods and applications are listed. Robot navigations have been studied as classical robot application. Autonomous navigation examples are demonstrated. Then services robots are introduced as human-robot interaction. Furthermore, unmanned aerial vehicles (UAVs) or autonomous underwater vehicles (AUVs) are shown for autonomous navigation or map building.
    [Show full text]