An autonomous robot that is able to physically guide humans through narrow and cluttered spaces could be a big boon to the visually-impaired. Most prior robotic guiding systems are based on wheeled platforms with large bases with actuated rigid guiding canes. The large bases and the actuated arms limit these prior approaches from operating in narrow and cluttered environments. We propose a method that introduces a quadrupedal robot with a leash to enable the robot-guiding human system to change its intrinsic dimension (by letting the leash go slack) in order to fit into narrow spaces. We propose a hybrid physical Human-Robot Interaction model that involves leash tension to describe the dynamical relationship in the robot-guiding human system. This hybrid model is utilized in a mixed-integer programming problem to develop a reactive planner that is able to utilize slack-taut switching to guide a blind-folded person to safely travel in a confined space. The proposed leash-guided robot framework is deployed on a Mini Cheetah quadrupedal robot and validated in experiments.
翻译:能够实际引导人类穿越狭窄和杂乱空间的自主机器人可能是视觉残疾者的一大好处。 多数先前的机器人指导系统都基于带有大基底的轮式平台, 带有动画硬制导拐杖。 大型基地和电动手臂限制这些先前的方法, 使其不能在狭窄和杂乱的环境中运作。 我们提出一种方法, 引进四重带带带带带的自动机器人, 使机器人引导人类系统能够改变其内在层面( 放松皮带 ), 以适应狭窄的空间。 我们提议了一个混合体形人类- 机器人互动模型, 其中包括皮带紧张, 以描述机器人- 引导人类系统中的动态关系 。 这种混合型模型在混合电动编程问题中被使用, 以开发一个反应性计划器, 能够使用懒惰的转换器引导一个被蒙住眼睛的人在狭窄的空间安全旅行。 拟议的麻布制机器人框架被安装在小型Cheetah 四重机械上, 并在实验中被验证 。