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
Daftar Isi
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 Open Pose.- 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.- Grad Net: A Viscosity Gradient Approach to Achieve Dexterity in Soft Pneumatic Actuators.- How to tune Humanoid Walking Parameters for better Performance.-
Machine Learning
.- Trident Net: 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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