When I first started building robots, my game developer instincts quickly kicked in. One of the most important lessons I’ve learned in my career as a professional game developer is that nothing supercharges development and product creation more than creating tools and processes that empower people to build what is in their mind’s eye. For example, BabaCAD Robotics users can import existing robot working 3D environment from standard 3D format (dxf, dwg, step) files and start simulate their robots in real-like 3D environment, to test collisions, obstacle avoidance, manipulator working range and much more.īabaCAD Robotics has a trajectory planning, offline programming and also can be used to control the real robots in real time, because there is Python open-source interface which can be used to customize any part of the systemġ1.30: Bottango – Animating robots with Bottangoīottango is an intuitive software studio for animating robotics, animatronics, and all kinds of hardware. One of the advantages of this system compared to other robotics simulator is that BabaCAD Robotics has a full CAD platform in background. BabaCAD Robotics is fully integrated in BabaCAD, so users besides robotics simulation can also use a numerous CAD design and drafting features of professional CAD software. Each of our datsets is a product of iterative testing and optimization to achieve the best performance on real-world data.ġ1.15: Babacad – Simulation and control softwareīabaCAD Robotics is robotics simulation software made as a Add-On for BabaCAD – professional CAD software. Using technology from film and gaming, we produce realistic, perfectly labeled training datasets for object detection, segmentation, and 6D pose estimation models. Skip costly hardware setup, data collection, data annotation, and data cleaning. Synthetic training data is the fastest and cheapest way to improve or bootstrap a deep learning computer vision model for your robot. Deep learning algorithms for computer vision are powerful, but require large amounts of data to work well. We teach robots to see, using simulated environments. He is committed to creating open source software and hardware for the robotics community and has been a long standing icon in since his time at Willow Garage.ġ0.00: Keynote – Brian Gerkey – Open Roboticsġ2.30: Forge/OS 5: An Operating System for Industrial Automationġ1.00: SBX Robotics – Synthetic data for robot vision Keynote – 10am EDT Brian Gerkey – CEO of Open Robotics, makers of ROS, Gazebo, and Ignition. No need to jeopardize hundreds or thousands of dollars worth of hardware when we can verify everything in simulation first! This section showcases some of the amazing new simulation efforts getting pushed in the community. Proving a concept in simulation is a vital part of robotics. 10.00: Keynote: Brian Gerkey – Open Roboticsġ1.00: SBX robotics: Teaching robots how to see using synthetic dataġ1.15: BabaCAD: Simulation and control softwareġ1.30: Bottango: Animating robots with Bottangoġ2.00: CyberBotics: SLAM and navigation with TurtleBot3, ROS2, and Webotsġ2.30: Ready Robotics: Forge/OS 5 – An Operating System for Industrial Automationġ2.45: Studio Technix: Improving robotics with multi-domain simulationġ4.00: Keynote: Mark Emerton – Senior Innovation Lead for Robots and AI of UK Research and Innovation (UKRI) presenting highlights of the £112 million Robots for a safer world challengeġ4.45: A Fully Autonomous Indoor Mobile Robot Using Visual SLAMġ4.55: Jason Luk indoor self driving robotġ5.05: Swarms for people – Sabine Haurt of the Bristol Robotics Labġ5.45: BeBOT: Bernstein Polynomial Toolkit for Optimal Trajectory Generationġ6.15: Last Mile Delivery Robot for Residential Buildingsġ6.25: ExoMy – The 3D Printed Open Source Rover
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