Experimental 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, humanrobot 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.

Presents top class research in Experimental Robotics Provides the outcome of the latest edition of the successful International Symposium on Experimental Robotics (ISER) series Includes contributions form leading researchers and pioneers from academia, government, and industry discussing the state of the art in experimental robotics

Inhalt
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.