Experimental Robotics

The 17th International Symposium
1. Auflage 2021
ISBN: 978-3-030-71150-4
Verlag: Springer International Publishing

Buch, Englisch, Band 19, 626 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1121 g

Reihe: Springer Proceedings in Advanced Robotics

This book is the volume of the proceedings for the 17th Edition of ISER. The goal of ISER (International Symposium on Experimental Robotics) symposia is to provide a single-track forum on the current developments and new directions of experimental robotics. The series has traditionally attracted a wide readership of researchers and practitioners interested to the advances and innovations of robotics technology. The 54 contributions cover a wide range of topics in robotics and are organized in 9 chapters: aerial robots, design and prototyping, field robotics, human?robot interaction, machine learning, mapping and localization, multi-robots, perception, planning and control. Experimental validation of algorithms, concepts, or techniques is the common thread running through this large research collection.
Chapter “A New Conversion Method to Evaluate the Hazard Potential of Collaborative Robots in Free Collisions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Zielgruppe

Research

Autoren/Hrsg.

Siciliano, Bruno

Khatib, Oussama

Laschi, Cecilia

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

Digger Finger: GelSight Tactile Sensor for Object Identification Inside Granular Media.- Toward High Power-To-Weight Ratio Electro-Hydrostatic Actuators for Robots.- Ori-Vent: Design and Prototyping of Accessible and Portable Origami-Inspired Ventilators.- Towards a Reliable Heterogeneous Robotic Water Quality Monitoring System: An Experimental Analysis.- Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture.- Autonomous Off-Road Navigation over Extreme Terrains with Perceptually-challenging Conditions.- Online Soil Classification Using a UAS Sensor Emplacement System.- Simulation, Learning and Control Methods to Improve Robotic Vegetable Harvesting.