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Intention Reasoning Mistake Risk Considered Vacuuming Task Assistance Method via Omnidirectional Movement Assistive Robot

机译:考虑了意图推理错误风险的全方位移动辅助机器人的吸尘任务辅助方法

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Even though the electric wheelchair can provide movement assistance for the elderly and lower-limb disabled people daily, we found that it's difficult for them to complete the operation of a wheelchair and the activity of daily living (ADL) tasks at the same time in their independent life. To provide more convenient movements assistance for them, we developed an Omnidirectional Movement Assistive Robot (OMAR). A user's intention recognition based movement assistance method was proposed in the previous study. By detecting user's upper body motion during the ADL task, OMAR can recognize user' intention and provide adequate movement for them autonomously. However, due to the randomness of upper body motion, in practice the mistake of user's task intention reasoning is inevitable. In this research, a safety guarantee framework was proposed to provide the emergency reaction of OMAR when user's intention was reasoned wrongly and dangerous movement occurred. By defining an explicit gesture for intention reasoning mistake risk signal, the user can propel OMAR to stop when they feel dangers and intent to stop OMAR at any time. The proposed method was applied in the vacuuming task assistance, and its effectiveness is validated experimentally.
机译:即使电动轮椅每天都能为老年人和下肢残疾人提供运动帮助,我们发现他们很难同时完成轮椅的操作和日常活动(ADL)独立生活。为了为他们提供更方便的运动辅助,我们开发了全向运动辅助机器人(OMAR)。在先前的研究中提出了一种基于用户意图识别的运动辅助方法。通过在ADL任务期间检测用户的上半身运动,OMAR可以识别用户的意图并自动为他们提供足够的运动。然而,由于上身运动的随机性,在实践中不可避免地会出现用户任务意图推理的错误。在这项研究中,提出了一个安全保障框架,当用户的意图被错误地推理并发生危险的移动时,它可以提供OMAR的应急反应。通过为意图推理错误风险信号定义明确的手势,用户可以在感到危险时随时推动OMAR停止,并有意图随时停止OMAR。将该方法应用于吸尘任务辅助中,并通过实验验证了其有效性。

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