Intelligent Autonomous Systems 16

Proceedings of the 16th International Conference IAS-16

Häftad, Engelska, 2022

Av Marcelo H. Ang Jr, Hajime Asama, Wei Lin, Shaohui Foong

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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.

Produktinformation

Utgivningsdatum2022-04-08
Mått155 x 235 x 40 mm
Vikt1 107 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Networks and Systems
Antal sidor725
FörlagSpringer Nature Switzerland AG
ISBN9783030958916

Tillhör följande kategorier

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.