Intelligent Autonomous Systems 16
Proceedings of the 16th International Conference IAS-16
(Sprache: Englisch)
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...
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Klappentext zu „Intelligent Autonomous Systems 16 “
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
Inhaltsverzeichnis zu „Intelligent Autonomous Systems 16 “
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 inHuman 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.Bibliographische Angaben
- 2022, 1st ed. 2022, XVIII, 725 Seiten, 379 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Marcelo H. Ang Jr, Hajime Asama, Wei Lin, Shaohui Foong
- Verlag: Springer, Berlin
- ISBN-10: 3030958914
- ISBN-13: 9783030958916
Sprache:
Englisch
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