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020			_a9783030958923
024	7		_a10.1007/978-3-030-95892-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTJ217.5 _b2022 EB
245	0	0	_aIntelligent Autonomous Systems 16 : _bProceedings of the 16th International Conference IAS-16 _cedited by Marcelo H. Ang Jr, Hajime Asama, Wei Lin, Shaohui Foong
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVIII, 725 páginas) _b439 ilustraciones, 379 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aLecture Notes in Networks and Systems _x2367-3389 _v412
505	0		_aLocalization 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.
520			_aThis 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.
988			_aSpringer_Robotics_2022
650		7	_2embne _9670875 _aRobots autónomos
650		7	_2embne _9407082 _aSistemas de control inteligente
700	1		_aAng Jr, Marcelo H _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAsama, Hajime _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLin, Wei _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFoong, Shaohui _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030958916
776	0	8	_iPrinted edition: _z9783030958930
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-95892-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2022 _dz _esc _zSI