We propose a teleoperation system that uses a single RGB-D camera as the human motion capture device. Our system can perform general manipulation tasks such as cloth folding, hammering and 3mm clearance peg in hole. We propose the use of non-Cartesian oblique coordinate frame, dynamic motion scaling and reposition of operator frames to increase the flexibility of our teleoperation system. We hypothesize that lowering the barrier of entry to teleoperation will allow for wider deployment of supervised autonomy system, which will in turn generates realistic datasets that unlock the potential of machine learning for robotic manipulation. Demo of our systems are available online https://sites.google.com/view/manipulation-teleop-with-rgbd
翻译:我们建议采用一个远程操作系统,将一个RGB-D相机作为人体运动抓捕装置。我们的系统可以执行布折、锤子和3毫米清除钉洞等一般操作任务。我们提议使用非卡泰西恩斜面协调框架、动态动作缩放和操作员框架重新定位,以提高我们的远程操作系统的灵活性。我们假设降低电信操作进入屏障将允许更广泛地部署监督的自主系统,从而产生现实的数据集,从而释放机器学习进行机器人操作的潜力。我们系统的演示可在以下网址查阅:https://sites.google.com/view/manipulation-teleop- with-rgbd。