摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据瑞士Ecublens的新闻报道，New sRx记者称，“在机器人投掷中，由于物体变形和有限的抓爪操作速度，释放阶段涉及复杂的动态交互，经常导致不准确和不可重复的投掷。虽然可以采用数据驱动的方法来补偿释放的不确定性，但不能保证所学习的模型对看不见物体的泛化能力。”可能需要使用新数据对特定对象进行微调。
Abstract
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.”
NETL
NSTL