Intelligent autonomous systems 16 : proceedings of the 16th International Conference IAS-16
Author(s)
Bibliographic Information
Intelligent autonomous systems 16 : proceedings of the 16th International Conference IAS-16
（Lecture notes in networks and systems / series editor, Janusz Kacprzyk, 412）
Springer, c2022
Available at 1 libraries
Note
Other editors: Hajime Asama, Wei Lin, Shaohui Foong
Description and Table of Contents
Description
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
Table of Contents
Localization and SLAM Online Learning Based Long-Term Feature Existence State Prediction for Visual Topological Localization
Hongle Xie, Weidong Chen and Jingchuan Wang
ALOT: Augmented Localization with Obstacle Tracking
Zhikai Li, Krittin Kawkeeree, Yue Linn Chong, Christina Dao Wen Lee and Marcelo Ang
RTS-vSLAM: Real-time Visual Semantic Tracking and Mapping under Dynamic Environments
Yubao Liu and Jun Miura
Mobile Robot Localization Considering the Attributes of Objects to Prevent the Kidnapped Robot Problem
Taiki Harada, Ayanori Yorozu and Masaki Takahashi
Collaborative Mapping of Archaeological Sites using multiple UAVs
Manthan Patel, Aditya Bandopadhyay and Aamir Ahmad
3D Nominal Scene Reconstruction for Object Localization and UAS Navigation
Xuyang Han and Sutthiphong Srigrarom
Navigation Topometric Navigation Considering Movable Objects
Shunsuke Mochizuki, Ayanori Yorozu and Masaki Takahashi
Harmonious Robot Navigation Strategies for Pedestrians
Shintaro Nakaoka, Ayanori Yorozu and Masaki Takahashi
Shared autonomy for telepresence robots based on people-aware navigation
Gloria Beraldo, Kenji Koide, Amedeo Cesta, Satoshi Hoshino, Jun Miura, Matteo Salv`a and Emanuele Menegatti
A Framework to Study Autonomous Driving User Acceptance in the Wild
Alessandro Gabrielli, Simone Mentasti, Gabriel Esteban Manzoni, Ste- fano Arrigoni, Federico Cheli and Matteo Matteucci
Probabilistic Collision Constraint for Motion Planning in Dynamic Environments
Antony Thomas, Fulvio Mastrogiovanni and Marco Baglietto
Human-following Control in Furrow for Agricultural Support Robot
Ayanori Yorozu, Genya Ishigami and Masaki Takahashi
Autonomous Off-Road Navigation using Near-Feature-Based World Knowledge Incorporation on the Example of Forest Path Detection
Patrick Wolf, Axel Vierling, Thorsten Ropertz, Simon Velden, Carlos Guzman and Karsten Berns
Learning to Drive Fast on a DuckieTown Highway
Thomas Wiggers and Arnoud Visser
End-to-end learning of autonomous vehicle lateral control via MPC training
Simone Mentasti, Mattia Bersani, Stefano Arrigoni, Matteo Matteucci and Federico Cheli
End-to-end Imitation Learning for Autonomous Vehicle Steering on a Single-Camera Stream
Thomas van Orden and Arnoud Visser
Application Sensorized Compliant Robot Gripper for Estimating the Cooking Time of Boil-Cooked Vegetables
Grzegorz Sochacki, Josie Hughes and Fumiya Iida
A Study On Constraint-free Vital Sign Measurement Using A Millimeter Wave Sensor In Home Environment
Shumpei Nakamura, Huang Shaoying and Wenwei Yu
Development of a Medication-taking Behavior Monitoring System Using Depth Sensor
Rikuto Osawa, Shao Ying Huang and Wenwei Yu
Developing a collaborative robotic dishwasher cell system for restaurantsWingsum Lo, Chihiro Yamamoto, Suraj Prakash Pattar, Koichi Tsukamoto, Shizuka Takahashi, Tetsuya Sawanobori and Ikuo Mizuuchi
Iterative Improvement for the Heterogeneous Robotic Order Fulfillment Problem Using Simulated Annealing
Wang Hanfu and Chen Weidong
Robotic cooking through pose extraction from human natural cooking
using OpenPose Dylan Danno, Simon Hauser and Fumiya Iida
Multiple Object Detection and Segmentation for Automated Removal in Additive Manufacturing with Service Robots
Pascal Becker, Anastasiia Maklashevskikh, Arne Roennau and Ruediger Dillmann
Determination of posture comfort zones for robot-human handover tasks .
Oliver Rettig, Marcus Strand and Silvan Muller
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
Zhou Zhongchao, Wang Yuanyuan and Wenwei Yu
Effect of Tilted Ground on Muscle Activity in Human Sit-to-Stand Motion: Preliminary Result
Kazunori Yoshida, Qi An, Hiroshi Yamakawa, Yusuke Tamura, Atsushi Yamashita and Hajime Asama
In-hand Object Recognition for Sensorized Soft Hand
May Khin, Jin Huat Low, Marcelo Ang and Chen-Hua Yeow
Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization
Keyan Zhai, Chu'An Li and Andre Rosendo
GradNet: A Viscosity Gradient Approach to Achieve Dexterity in Soft Pneumatic Actuators
Parthsarthi Rawat, Tanay Misra, Khin Phone May, Marcelo H ANG Jr, Raye Chen-Hua Yeow and Santanu Mitra
How to tune Humanoid Walking Parameters for better Performance
Antonio D'Angelo and Enrico Pagello
Machine Learning TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation.
David Paz, Hengyuan Zhang and Henrik Christensen
Adaptive Eligibility Traces for Online Deep Reinforcement Learning
Taisuke Kobayashi
Ensemble of LSTMs and feature selection for human action prediction
Tomislav Petkovic, Luka Petrovic, Ivan Markovic and Ivan Petrovic
Control Analysis of Exploration in Swarm Robotic Systems
Minyoung Jeong, John Harwell and Maria Gini
Reinforcement Learning at the Cognitive Level in a Belief, Desire, Intention UAS Agent
David Sacharny, Thomas Henderson, Michael Cline and Ben Russon
Action Feasibility Learning with Cell-based Multi-Object Representation for Task and Motion Planning
Junsu Kang, Wan Kyun Chung and Keehoon Kim
Improved Driving Stability of Segway using two Serial Elastic Actuators .
Jinuk Bang and Jangmyung Lee
Optimal Grasping Control System For Performing Precision Indirect Teaching of Robot Hand
Seongho Jin, Jonghak Lee and Jangmyung Lee
Introduction of damping control for obstacle avoidance in direct-contact cobotics operations
Alexandre Huart, Masaki Takahashi and Ayanori Yorozu
Shape Control of Elastic Objects Based on Implicit Sensorimotor Models and Data-Driven Geometric Features
Wanyu Ma, Jihong Zhu and David Navarro-Alarcon
Robotic Arm Control and Task Training through Deep Reinforcement Learning
Andrea Franceschetti, Elisa Tosello, Nicola Castaman and Stefano Ghi- doni
A marker based optical measurement procedure to analyse robot arm movements and its application to improve accuracy of industrial robots.
Oliver Rettig, Silvan Muller and Marcus Strand
A Planning Domain Definition Language Generator, Interpreter, and Knowledge Base for Efficient Automated Planning
Elisa Tosello, Luca Tagliapietra, Enrico Pagello and Emanuele Menegatti
Weighted Shared-Autonomy with Assistance-to-Target and Collision Avoidance for Intelligent Assistive Robotics
Stefano Tortora, Roberto Sassi, Ruggero Carli and Emanuele Menegatti
Automatic Grasp Pose Generation for Parallel Jaw Grippers
Kilian Kleeberger, Florian Roth, Richard Bormann and Marco Huber
Simulation and Control of Deformable Autonomous Airships in Turbulent Wind
Eric Price, Yu Tang Liu, Michael J. Black and Aamir Ahmad
Computer Vision Visualization of Dump Truck and Excavator in Bird's-eye View by Fisheye Cameras and 3D Range Sensor
Yuta Sugasawa, Shota Chikushi, Ren Komatsu, Jun Younes Louhi Kasa- hara, Sarthak Pathak, Ryosuke Yajima, Shunsuke Hamasaki, Keiji Na- gatani, Takumi Chiba, Kazuhiro Chayama, Atsushi Yamashita and Ha- jime Asama
Dynamic Object Removal from Unpaired Images for Agricultural Autonomous Robots
Hiroyasu Akada and Masaki Takahashi
Future Image Prediction for Mobile Robot Navigation: Front-facing Camera versus Omni-directional Camera
Yu Ishihara and Masaki Takahashi
Improving Embedded Convolutional Object Detectors Through Low-res Training
Qian Shi, Jiahui Zhu, Zhonglin Nian and Andre Rosendo
Fusion of Radar- and Lidar-Data for Object-Tracking-Applications at Feature Level
Maximilian Lindinger, Marcus Strand, Sebastian Schwarzkopf, Matthias Honal and Raphael Engesser
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Im- peroli, Jacopo Lazzaro, Emanuele Menegatti and Alberto Pretto
Detection and Classification of defects in plastic components using a deep learning approach
Marco Mameli, Marina Paolanti, Adriano Mancini, Emanuele Fron- toni and Primo Zingaretti
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