Titlebook: Robotics Research; The 18th Internation Nancy M. Amato,Greg Hager,Miguel Torres-Torriti Conference proceedings 2020 Springer Nature Switzer

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“Should Robots Feel Pain?”—Towards a Computational Theory of Pain in Autonomous Systemst robot cognition, motor skill acquisition, autonomy, memory, and system integration. Despite the fact that pain plays a central role in the life of humans and more complex animals, it has received only peripheral attention in the field of robotics. In this paper, we discuss the complex web of mecha

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Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Modelsative manufacturing. To effectively do so, robots must proactively decode the intent or plan of humans and concurrently leverage such a knowledge for safe, cooperative task satisfaction—a problem we refer to as proactive decision making. However, the problem of proactive intent decoding coupled with

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Perspectives on Deep Multimodel Robot Learning multimodel learning can facilitate generalization to unseen scenarios by utilizing domain-specific cues from auxiliary tasks and discuss some of the current mechanisms that can be employed to design multimodel frameworks for robot autonomy.

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Task Representation in Robots for Robust Coupling of Perception to Action in Dynamic Scenes in sensor space. In addition, the spatial ordering of the information based on Cartesian data may lead to wrong prioritization of dynamic objects, e.g., not always the nearest objects are the prime collision candidates in the scene. We propose alternative ways how to represent task goals in robotic

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