Selective Visual and Tactile Sensing for Autonomous Systems Perception and Robotic Applications

用于自主系统感知和机器人应用的选择性视觉和触觉传感

• 批准号: RGPIN-2015-05328
• 负责人: Payeur, Pierre
• 金额: $ 2.19万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=590365
• 关键词: Selective; Visual; Tactile; Sensing; Autonomous

The development of autonomous robotic systems represents a strategic undertaking for developed countries around the world, including in Canada, to protect populations, ensure proper health care and personal services, provide competitive advantage to the manufacturing industry, and sustain economic prosperity. However, the most advanced technologies still face limitations in their sensing and perception capability. Among the challenges encountered, the acquisition of large amounts of data quickly leads to saturated processing capabilities that preempt full usage of the information available for autonomous systems to make educated decisions. Nevertheless, a recent trend has emerged that aims at merging measurements from vision, force and tactile sensors to develop systems capable of performing dexterous manipulation, in an attempt to get closer to human capabilities.

自主机器人系统的发展代表了包括加拿大在内的世界发达国家的一项战略任务，以保护人口，确保适当的医疗保健和个人服务，为制造业提供竞争优势，并维持经济繁荣。然而，最先进的技术在感知和感知能力方面仍然面临局限性。在遇到的挑战中，大量数据的获取很快导致处理能力饱和，从而抢占了自主系统充分利用可用信息做出明智决策的机会。然而，最近出现了一种趋势，旨在融合视觉、力和触觉传感器的测量，以开发能够进行灵巧操作的系统，试图更接近人类的能力。