首页|Reports from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Tube Acceleration: Robust Dexterous Throwing Against Release Uncertainty)
Reports from Swiss Federal Institute of Technology Lausanne (EPFL) Provide New Insights into Robotics (Tube Acceleration: Robust Dexterous Throwing Against Release Uncertainty)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating in Ecublens, Switzerland, by New sRx journalists, research stated, “In robotic throwing, the release phase involv es complex dynamic interactions due to object deformation and limited gripper op ening speed, often resulting in inaccurate and nonrepeatable throws. While data- driven methods can be employed to compensate for the release uncertainty, the ge neralizability of learned models to unseen objects is not guaranteed, and object -specific fine-tuning with new data may be required.”
EcublensSwitzerlandEuropeEmerging TechnologiesMachine LearningRobotRoboticsSwiss Federal Institute of Technology Lausanne (EPFL)
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