The topics covered in this book range from modeling and programming languages and environments, via approaches for design and verification, to issues of ethics and regulation. In terms of techniques, there are results on model-based engineering, product lines, mission specification, component-based development, simulation, testing, and proof. Applications range from manufacturing to service robots, to autonomous vehicles, and even robots than evolve in the real world. A final chapter summarizes issues on ethics and regulation based on discussions from a panel of experts.
The origin of this book is a two-day event, entitled Robo Soft, that took place in November 2019, in London. Organized with the generous support of the Royal Academy of Engineering and the University of York, UK, Robo Soft brought together more than 100 scientists, engineers and practitioners from all over the world, representing 70 international institutions.
Theintended readership includes researchers and practitioners with all levels of experience interested in working in the area of robotics, and software engineering more generally. The chapters are all self-contained, include explanations of the core concepts, and finish with a discussion of directions for further work.
Chapters ‘Towards Autonomous Robot Evolution’, ‘Composition, Separation of Roles and Model-Driven Approaches as Enabler of a Robotics Software Ecosystem’ and ‘Verifiable Autonomy and Responsible Robotics’ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Tabella dei contenuti
Software Product Line Engineering for Robotics.- Towards Autonomous Robot Evolution.- Composition, Separation of Roles and Model-Driven Approaches as Enabler of a Robotics Software Ecosystem.- Testing Industrial Robotic Systems: A New Battlefield!.- Gaining Confidence in the Trustworthiness of Robotic and Autonomous Systems.- Robot Accident Investigation: A Case Study in Responsible Robotics.- Verifiable Autonomy and Responsible Robotics.- Verification of Autonomous Robots: A Roboticist’s Bottom-Up Approach?.- Robo Star Technology: A Roboticist’s Toolbox for Combined Proof, Simulation, and Testing.- Corte X: A software Framework for Interoperable, Plug-and-Play, Distributed, Robotic Systems-of-Systems.- Mutation Testing for Robo Chart.- Languages for Specifying Missions of Robotic Applications.- Robo Star Technology: Modelling Uncertainty in Robo Chart using Probability.- Panel Discussion: Regulation and Ethics of Robotics and Autonomous Systems.
Circa l’autore
Ana Cavalcanti is Professor of Software Verification at the University of York and Royal Academy of Engineering Chair in Emerging Technologies, and is working on software engineering issues for robotics like modelling, validation, simulation, and testing. She currently leads the Robo Star research group at the University of York. Her research is on theory and practice of verification and testing for robotics.
Brijesh Dongol is a Senior Lecturer at the University of Surrey. His research is on formal techniques and verification methods for concurrent and real-time systems. This includes concurrent objects, transactional memory and associated correctness conditions; weak memory models; algebraic techniques; and hybrid systems. He leads several projects funded by the EPSRC, research institutions and industrial partners and is a member of the Formal Methods Teaching Committee.
Rob Hierons joined The University of Sheffield in 2018 as a full Professor. His research concerns the automated generation of efficient, systematic test suites on the basis of program code, models or specifications. He is joint Editor-in-Chief of the Journal of Software Testing, Verification, and Reliability (STVR) and is a member of the editorial boards of The Computer Journal and Formal Aspects of Computing.
Jon Timmis is Professor of Intelligent and Adaptive Systems at the University of Sunderland, where he is Deputy Vice-Chancellor, and is Visiting Professor at the University of York. His research focuses on biologically-inspired systems and modelling, with applications in robotic and swarm robotic systems as well as computational biology. He has commercialized his research into modelling and simulation in the biosciences. He is a former Royal Society-Wolfs on Research Merit Award holder and a Royal Academy of Engineering Enterprise Fellow.
Jim Woodcock is Professor of Software Engineering at the University of York, known for his research, teaching, and consultancy in the application of industrial-scale software engineering and formal methods. He is a Chartered Engineer, a fellow of the UK Royal Academy of Engineering, and a member of the London Mathematical Society. His current research is in modelling and reasoning about uncertainty in robotic applications.
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