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Presents a Mathematical Programming (MP) framework that captures the salient features of the general Multi-Vehicle Motion Planning (MVMP) problem. To demonstrate the use of MP for the formulation and solution of MVMP problems, the book examines in detail four representative works and summarizes several other related ones.

By building robotic systems with soft materials, we can realize systems that are safer, cheaper, and more adaptable than the level that conventional rigid-material robots can achieve. This volume introduces the fundamental aspects of this vibrant research topic from history, modelling, control, and system integration.

Provides an overarching snapshot of where semantics in robotics stands today. The authors establish a taxonomy for semantics research in or relevant to robotics, split into four broad categories of activity in which semantics are extracted, used, or both.

Presents a summary of challenges to deliver desired solutions and a presentation of efforts to be undertaken to ensure that US will continue to be a leader in robotics, both in terms of research innovation, adoption of the latest technology, and adoption of policy frameworks that ensure that the technology is utilized in a responsible fashion.

Provides an in-depth overview and practical examples of how robots can be deployed during a disaster. As such it should prove useful for roboticists, researchers in various fields related to robotics as well as industry professionals who are responsible for saving lives and mitigating societal impacts in times of disaster.

Focuses on the inclusion of security in robotics from the earliest design phases onward and with a special focus on the cost-benefit tradeoff that can otherwise be an inhibitor for the fast development of affordable systems. The authors advocate for quantitative methods of security management and design.