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Title
Robotics research / Aude Billard, Tamin Asfour, Oussama Khatib, editors.
ISBN
9783031255557 (electronic bk.)
3031255550 (electronic bk.)
9783031255540
3031255542
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xv, 575 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-25555-7 doi
Call Number
TJ210.3
Dewey Decimal Classification
629.8/92
Summary
The proceedings of the 2022 edition of the International Symposium of Robotics Research (ISRR) offer a series of peer-reviewed chapters that report on the most recent research results in robotics, in a variety of domains of robotics including robot design, control, robot vision, robot learning, planning, and integrated robot systems. The proceedings entail also invited contributions that offer provocative new ideas, open-ended themes, and new directions for robotics, written by some of the most renown international researchers in robotics. As one of the pioneering symposia in robotics, ISRR has established some of the most fundamental and lasting contributions in the field since 1983. ISRR promotes the development and dissemination of ground-breaking research and technological innovation in robotics useful to society by providing a lively, intimate, forward-looking forum for discussion and debate about the status and future trends of robotics, with emphasis on its potential role to benefit humans.
Note
Conference proceedings.
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Springer proceedings in advanced robotics ; 27.
It's just semantics: How to get robots to understand the world the way we do
Learning Agile, Vision-Based Drone Flight: From Simulation to Reality
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning
Efficiently Learning Single-Arm Fling Motions to Smooth Garments
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces
Visual Foresight with a Local Dynamics Model.