双第一人称视觉中利用物体可供性和手部运动早期估计用户遥操作意图
Early Estimation of User's Intention of Tele-Operation Using Object Affordance and Hand Motion in a Dual First-Person Vision
摘要：
本文描述了一种在机器人遥操作场景中估计用户运动意图的方法。遥操作中的问题之一是延迟，这是由于各种原因而发生的，例如机器人运动缓慢和通信信道狭窄。减少延迟的一个有效方法是估计人类的运动意图，并主动移动机器人。为了实现可靠的早期意图估计，我们在具有HMD的双第一人称视觉（机器人和用户）中使用手部运动和对象启示。在一个目标拾取场景中的实验结果表明了该方法的有效性。
英文摘要：
This paper describes a method of estimating the intention of a user's motion in a robot tele-operation scenario. One of the issues in tele-operation is latency, which occurs due to various reasons such as a slow robot motion and a narrow communication channel. An effective way of reducing the latency is to estimate the human intention of motions and to move the robot proactively. To enable a reliable early intention estimation, we use both hand motion and object affordances in a dual first-person vision (robot and user) with an HMD. Experimental results in an object pickup scenario show the effectiveness of the method.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
