Tutorials
The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.
Tutorial proposals are accepted until:
April 28, 2025
If you wish to propose a new Tutorial please kindly fill out and submit this
Expression of Interest form.
Tutorial on
Mobile Robot Simulation with EyeSim
Instructor
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Thomas Bräunl
School of Engineering, The University of Western Australia
Australia
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Brief Bio
Thomas Bräunl is a Professor in the School of Engineering at The University of Western Australia, Perth, where he directs the Robotics & Automation Lab as well as the Renewable Energy Vehicle Project (REV). He has developed numerous robotics systems, including the EyeBot robot family and the EyeSim simulation system. On the automotive side, he has done research on electric drive and charging systems, and is developing AI solutions for autonomous driving. Professor Bräunl worked on Driver-Assistance Systems with Mercedes-Benz Stuttgart and on Electric Vehicle Charging Systems with BMW Munich and BMW Mountain View. He holds a Diploma from the University of Kaiserslautern, an M.S. degree from the University of Southern California, Los Angeles, and a Ph.D. and Habilitation from the University of Stuttgart.
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Abstract
Abstract
Presenting the free mobile robot simulator EyeSim as a versatile tool for research and education. EyeSim supports several different robot types and categories, including driving, swimming and diving robots, as well as robot manipulators.
Keywords
Robot simulation; multi-robot systems; sensor simulation.
Aims and Learning Objectives
Learn how to set up a robot environment and how to program mobile robots using EyeSim.
Target Audience
Academics and robotics practitioners
Prerequisite Knowledge of Audience
Basic C or Python programming
Detailed Outline
1. Robot model, sensors and interface
2. RoBIOS API
3. Environments with Maze, Word, and Sim files
4. Driving Robot Simulation
5. Autonomous submarine simulation
6. Robot manipulator simulation