SBIR Phase I: Fingertip Ranging with Micro Light-Field Cameras

SBIR 第一阶段：使用微光场相机进行指尖测距

• 批准号: 1648388
• 负责人: Henry Baker
• 金额: $ 22.49万
• 依托单位: EPIImaging, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-12-01 至 2017-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1648388&HistoricalAwards=false
• 关键词: SBIR; Phase; Fingertip; Ranging; Micro

The broader impact/commercial potential of this project lies in its provision of a novel ranging capability whose quality, ease of placement, and scale in deployment will introduce new opportunities in robot operation in situations where there is uncertainty in the relative positions of parts and robots. These include small-batch production (where fixturing cannot be made cost effective), inspection and repair in confined spaces (where 3D sensing must be carried aboard the actuator), hazardous situations (where human presence incurs risk to life), and collaborative interaction with people (where inadvertent contact must be avoided). In the proposed development, robot grasp will be empowered with dynamic 3D range mapping at each fingertip, enabling direct computation of trajectories and velocities tailored to the geometry and structure about to be manipulated. Extension of the technology to the larger challenge of 3D vision and object modeling offers economic impact in diverse applications. These include autonomous and semi-autonomous vehicle navigation (drones, cars), virtual reality and augmented reality interfaces, 3D teleconferencing and communication, cultural site modeling, and immersive cinema. Each is an area where increases in reliability and precision with decreases in power and computational cost can bring an application over the threshold in price/performance, into viability.This Small Business Innovation Research (SBIR) Phase I project will establish a new level of real-time passive visual perception in near-range for robot operation, providing 3D data for accurate, precise and rapid grasp. Binocular imaging systems have not demonstrated success in near range robotics due to the inability of their match-based methods to deliver reliable depth measures in complex settings where disparity range is large. Current methods using a few cameras are based on matching so make mistakes, use search that is exponential in covered range so are expensive, and deliver parsimonious descriptions of the world (point clouds) so are weak in descriptive power. All of these diminish the reliability of their processing and the utility of their analysis in real-world applications. The technology of this project combined with recent wafer-level integration module packages overcomes these limitations through use of dense sampling, extended baselines, and maintaining and exploiting image spatial continuity. The technical challenge involves mechanical and electrical design to enable micro light-field ranging with analysis on an embedded processor, near-field calibration of imagers/optics/system, and coordination of these with robot control for assessing measurement accuracy and precision. The project will result in high-quality frame-rate light-field ranging on a robot fingertip.

该项目的更广泛的影响/商业潜力在于其提供了一种新型的测距能力，其质量，易于放置和部署规模将在零件和机器人的相对位置存在不确定性的情况下为机器人操作带来新的机会。这些包括小批量生产（夹具无法实现成本效益），在有限空间内的检查和维修（3D传感必须在致动器上进行），危险情况（人类存在会导致生命风险）以及与人的协作互动（必须避免无意接触）。在拟议的开发中，机器人抓取将在每个指尖上获得动态3D范围映射，从而能够直接计算针对将要操纵的几何形状和结构量身定制的轨迹和速度。 将该技术扩展到3D视觉和对象建模的更大挑战，可在各种应用中产生经济影响。 这些包括自主和半自主车辆导航（无人机，汽车），虚拟现实和增强现实界面，3D电话会议和通信，文化场所建模和沉浸式电影。 在每一个领域，可靠性和精度的提高以及功耗和计算成本的降低都可以使应用超越性价比门槛，从而实现可行性。这个小型企业创新研究（SBIR）第一阶段项目将为机器人操作建立一个新的近距离实时被动视觉感知水平，为准确，精确和快速的抓取提供3D数据。双目成像系统尚未在近距离机器人中证明成功，这是由于其基于匹配的方法无法在视差范围较大的复杂设置中提供可靠的深度测量。目前使用几个相机的方法是基于匹配的，因此会出错，使用在覆盖范围内呈指数的搜索，因此成本很高，并且提供对世界（点云）的简约描述，因此描述能力很弱。 所有这些都降低了其处理的可靠性和其分析在实际应用中的实用性。 该项目的技术与最近的晶圆级集成模块包相结合，通过使用密集采样，扩展基线，保持和利用图像空间连续性，克服了这些限制。技术挑战涉及机械和电气设计，以实现微光场测距，并在嵌入式处理器上进行分析，成像器/光学器件/系统的近场校准，以及这些与机器人控制的协调，以评估测量精度和精度。该项目将在机器人指尖上实现高质量的帧率光场测距。