Robotics Research
1st Edition
Published on 7. March 2023
XV, 575 pages
978-3-031-25555-7 (ISBN)
Description
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.More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XV, 575 p. 322 illus., 232 illus. in color.
File size
91,83 MB
ISBN-13
978-3-031-25555-7 (9783031255557)
DOI
10.1007/978-3-031-25555-7
Schweitzer Classification
Other editions
Additional editions
Aude Billard | Tamim Asfour | Oussama Khatib
Robotics Research
Book
03/2023
Springer
€320.99
Shipment within 15-20 days
Content
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.
