RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
원문 초록
Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate. We present RoboGrind, an integrated system for the intuitive, interactive automation of surface treatment tasks with industrial robots. It combines a sophisticated 3D perception pipeline for surface scanning and automatic defect identification, an interactive voice-controlled wizard system for the AI-assisted bootstrapping and parameterization of robot programs, and an automatic planning and execution pipeline for force-controlled robotic surface treatment. RoboGrind is evaluated both under laboratory and real-world conditions in the context of refabricating fiberglass wind turbine blades.
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The voraus-AD Dataset for Anomaly Detection in Robot Applications
Deep-Reinforcement-Learning-based Path Planning for Industrial Robots using Distance Sensors as Observation
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
On the Effectiveness of Iterative Learning Control
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
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