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

自主机器人系统的发展代表了包括加拿大在内的世界各地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，最先进的技术仍然面临着其传感和感知能力的限制。在遇到的挑战中，大量数据的获取很快导致饱和的处理能力，这使得自治系统无法充分利用可用的信息来做出明智的决策。然而，最近出现了一种趋势，旨在将视觉，力和触觉传感器的测量结果合并起来，以开发能够执行灵巧操作的系统，试图更接近人类的能力。

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.