Intelligent Autonomous Systems 16: Proceedings of the 16th International Conference Ias-16

ISBN-13: 9783030958916 / Angielski / Miękka / 2022 / 744 str.

Jr. Marcelo H. Ang; Hajime Asama; Wei Lin

Spis treści

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 Mu¨ller

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 Petkovi´c, 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 Mu¨ller 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

Blurb

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