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|a 10.1007/978-3-030-95892-3
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|a Intelligent Autonomous Systems 16 :
|b Proceedings of the 16th International Conference IAS-16 /
|c edited by Marcelo H. Ang Jr, Hajime Asama, Wei Lin, Shaohui Foong.
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| 250 |
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|a 1st ed. 2022.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2022.
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| 300 |
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|a 1 online resource (XVIII, 725 pages 439 illustrations, 379 illustrations in color.)
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|a Lecture Notes in Networks and Systems,
|x 2367-3389 ;
|v 412
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| 505 |
0 |
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|a Localization and SLAM -- Online Learning Based Long-Term Feature Existence State Prediction for Visual Topological Localization -- 3D Nominal Scene Reconstruction for Object Localization and UAS Navigation -- Navigation -- Topometric Navigation Considering Movable Objects -- Developing a collaborative robotic dishwasher cell system for restaurants -- Iterative Improvement for the Heterogeneous Robotic Order Fulfillment Problem Using Simulated Annealing -- Robotic cooking through pose extraction from human natural cooking -- using OpenPose -- Multiple Object Detection and Segmentation for Automated Removal in Additive Manufacturing with Service Robots -- Determination of posture comfort zones for robot-human handover tasks -- Biomimetic Robots -- A Simulation Study For Evaluating The Role Of Pre-tensioned Springs In 3 Pneumatic Artificial Muscle Driven Joint Mechanisms With Sliding Mode Controllers -- Effect of Tilted Ground on Muscle Activity in Human Sit-to-Stand Motion: Preliminary Result -- In-hand Object Recognition for Sensorized Soft Hand -- Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization -- GradNet: A Viscosity Gradient Approach to Achieve Dexterity in Soft Pneumatic Actuators -- How to tune Humanoid Walking Parameters for better Performance -- Machine Learning -- TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation -- Adaptive Eligibility Traces for Online Deep Reinforcement Learning -- Computer Vision -- Visualization of Dump Truck and Excavator in Bird's-eye View by Fisheye Cameras and 3D Range Sensor -- Fusion of Radar- and Lidar-Data for Object-Tracking-Applications at Feature Level -- Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks -- Detection and Classification of defects in plastic components using a deep learning approach.
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| 520 |
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|a This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design-as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986. Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Control engineering.
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| 650 |
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0 |
|a Robotics.
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| 650 |
|
0 |
|a Automation.
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| 650 |
|
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|a Industrial engineering.
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| 650 |
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|a Production engineering.
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| 650 |
1 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Control, Robotics, Automation.
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| 650 |
2 |
4 |
|a Industrial and Production Engineering.
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| 655 |
|
7 |
|a Electronic books.
|2 local
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| 700 |
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|a Ang Jr, Marcelo H.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Asama, Hajime.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Lin, Wei.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
|
|a Foong, Shaohui.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783030958916
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| 776 |
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|i Printed edition:
|z 9783030958930
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| 830 |
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|a Lecture Notes in Networks and Systems,
|x 2367-3389 ;
|v 412
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| 856 |
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|u http://proxy.library.tamu.edu/login?url=https://doi.org/10.1007/978-3-030-95892-3
|z Connect to the full text of this electronic book
|t 0
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| 950 |
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|a Intelligent Technologies and Robotics (SpringerNature-42732)
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| 950 |
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|a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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| 955 |
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|a Springer EBA ebooks 2022
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|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
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|e Q342
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| 998 |
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