Robot Trajectories When Approaching a User with a Visual Impairment

Jirachaya "Fern" Limprayoon, Prithu Pareek, Xiang Zhi Tan, Aaron Steinfeld
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Abstract

Mobile robots have been shown to be helpful in guiding users in complex indoor spaces. While these robots can assist all types of users, current implementations often rely on users visually rendezvousing with the robot, which may be a challenge for people with visual impairments. This paper describes a proof of concept for a robotic system that addresses this kind of short-range rendezvous for users with visual impairments. We propose to use a lattice graph-based Anytime Repairing A* (ARA*) planner as a global planner to discourage the robot from turning in place at its goal position, making its path more human-like and safer. We also interviewed an Orientation & Mobility (O&M) Specialist for their thoughts on our planner. They observed that our planner produces less obtrusive trajectories to the user than the ROS default global planner and recommended that our system should allow the robot to approach the person from the side as opposed to the front as it currently does. In the future, we plan to test our system with users in-person to better validate our assumptions and find additional pain points.
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机器人接近有视觉障碍的用户时的轨迹
移动机器人已被证明有助于在复杂的室内空间中引导用户。虽然这些机器人可以帮助所有类型的用户,但目前的实现通常依赖于用户在视觉上与机器人会合,这对有视觉障碍的人来说可能是一个挑战。本文描述了一种机器人系统的概念验证,该系统可以为有视觉障碍的用户解决这种短距离交会问题。我们建议使用基于点阵图的随时修复a * (ARA*)规划器作为全局规划器,以阻止机器人在目标位置原地转弯,使其路径更像人类,更安全。我们还采访了一位定位与移动(O&M)专家,了解他们对我们的规划的看法。他们观察到,与ROS默认的全局规划器相比,我们的规划器产生的轨迹对用户来说不那么突兀,并建议我们的系统应该允许机器人从侧面接近人,而不是像现在这样从正面接近人。在未来,我们计划让用户亲自测试我们的系统,以更好地验证我们的假设并找到其他痛点。
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