Cyberbotics Ltd. Webots™: Professional Mobile Robot Simulation

By O. Michel. arXiv.org, 2004

1,189 citations recorded by the source corpus.

Cyberbotics Ltd. develops Webots™, a mobile robotics simulation software that provides you with a rapid prototyping environment for modelling, programming and simulating mobile robots. The provided robot libraries enable you to transfer your control programs to several commercially available real mobile robots. Webots™ lets you define and modify a complete mobile robotics setup, even several different robots sharing the same environment. For each object, you can define a number of properties, such as shape, color, texture, mass, friction, etc. You can equip each robot with a large number of available sensors and actuators. You can program these robots using your favorite development environment, simulate them and optionally transfer the resulting programs onto your real robots. Webots™ has been developed in collaboration with the Swiss Federal Institute of Technology in Lausanne, thoroughly tested, well documented and continuously maintained for over 7 years. It is now the main commercial product available from Cyberbotics Ltd.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/bd0c0046f11e023afea6e2d9cf49fca27f008089

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Citations in the corpus

A Review of Safe Reinforcement Learning: Methods, Theory and Applications (2022, methodology): “A policy gradient method [138] Simulation experiments The Webots simulation package [185]”
Massively multi-robot simulation in stage (2008, background): “Unfortunately, no scaling data are available, and Webots is not free to distribute or modify (Michel 2004).”
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents (2007, methodology): “The system has been validated in a Webot [152] simulation environment.”
USARSim: a robot simulator for research and education (2007, methodology): “Webots [5] is a commercial simulator initially developed to aid software development for the Kephera robots.”
UniSim: A Neural Closed-Loop Sensor Simulator (2023, background): “Simulation Environments for Robotics: The robotics community has a long history of building simulators for safer and faster robot development [15, 31, 37, 49, 77, 88].”
The Open Motion Planning Library (2012, background): “There have also been many efforts to create robot simulators such as Player/Stage [22], Player/Gazebo [23], Webots [24], and MORSE [25].”
Evolution of Plastic Learning in Spiking Networks via Memristive Connections (2012, background): “ure as a means of homeostatic fault tolerance and recovery, as well as a compression technique to reduce the number of active synapses. 8. Environmental Setup Our chosen robotics simulator was Webots [61], a platform that is popular amongst the research community. Alternatives are summarised in [62]”
The e-puck, a Robot Designed for Education in Engineering (2009, methodology): “Webots [13] is commercial and supports three-dimensional physics through the ODE10 library.”
Programmable central pattern generators: an application to biped locomotion control (2006, methodology): “We did these experiment with a simulation of the Hoap-2 robot in Webots [ 12 ].”
Towards evolving spiking networks with memristive synapses (2011, methodology): “Our chosen robotics simulator was the Webots platform [ 37 ], a test bed that is popular amongst the research community; alternatives are summarised [38].”
Research Advance in Swarm Robotics (2013, background): “Simulations are easier to setup, less expensive, normally faster and more convenient to use than physical swarms [100].”
Learning robot gait stability using neural networks as sensory feedback function for Central Pattern Generators (2013, methodology): “All simulations are performed using a model of the Oncilla robot in Webots ([9]), a robotics simulation software based on the Open Dynamics Engine (ODE).”
AmphiBot I: an amphibious snake-like robot (2005, methodology): “Using Webots Dynamics [ 37 ], a dynamic simulation of articulated rigid bodies developed by Cyberbotics, we developed a simulation tool of the robot that allows us to test controllers in a physics-based model of the robot.”
AmphiBot II: An Amphibious Snake Robot that Crawls and Swims using a Central Pattern Generator (2006, methodology): “A model of the robot has been created with Webots [ 17 ].”
Development environments for autonomous mobile robots: A survey (2007, background): “Webots: Professional mobile robot simulation.”
Evolving Spiking Networks with Variable Resistive Memories (2014, methodology): “Sensory noise was added based on Webots Khepera data; ±2% noise for IR sensors and ±10% noise for light sensors, all randomly sampled from a uniform distribution.”
Online Optimization of Swimming and Crawling in an Amphibious Snake Robot (2008, methodology): “, variations of the slope) a simulated model of the robot has been created with Webots [39].”