Proceedings of the 2022 USCToMM Symposium on Mechanical Systems and Robotics / Pierre Larochelle, J. Michael McCarthy, editors.
2022
TJ210.3
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Title
Proceedings of the 2022 USCToMM Symposium on Mechanical Systems and Robotics / Pierre Larochelle, J. Michael McCarthy, editors.
ISBN
9783030998264 (electronic bk.)
3030998266 (electronic bk.)
9783030998257 (print)
3030998258 (print)
3030998266 (electronic bk.)
9783030998257 (print)
3030998258 (print)
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (1 volume) : illustrations (color).
Item Number
10.1007/978-3-030-99826-4 doi
Call Number
TJ210.3
Dewey Decimal Classification
629.8/92
Summary
This volume gathers the latest fundamental research contributions, innovations, and applications in the field of design and analysis of complex robotic mechanical systems, machines, and mechanisms, as presented by leading international researchers at the 2nd USCToMM Symposium on Mechanical Systems and Robotics (USCToMM MSR), held in Rapid City, South Dakota, USA on May 19-21, 2022. It covers highly diverse topics, including soft, wearable and origami robotic systems; applications to walking, flying, climbing, underground, swimming and space systems; human rehabilitation and performance augmentation; design and analysis of mechanisms and machines; human-robot collaborative systems; service robotics; mechanical systems and robotics education; and the commercialization of mechanical systems and robotics. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting and impactful research results that will inspire novel research directions and foster multidisciplinary research collaborations among researchers from around the globe.
Note
Includes author index.
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Source of Description
Description based on print version record.
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Series
Mechanisms and machine science ; v. 118.
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Table of Contents
Chapter 1: Design Synthesis and Implementation of a Dynamic Loading Mechanism for Morphing Winglets
Chapter 2: Towards Modeling Finger Joint Coordination for Natural Motion
Chapter 3: A K-Means Clustering Approach to Segmentation of Maps for Task Allocation in Multi-Robot Systems Exploration of Unknown Environments.
Chapter 2: Towards Modeling Finger Joint Coordination for Natural Motion
Chapter 3: A K-Means Clustering Approach to Segmentation of Maps for Task Allocation in Multi-Robot Systems Exploration of Unknown Environments.