NRI: Towards Dexterous Micromanipulation and Assembly

NRI：迈向灵巧的显微操作和组装

• 批准号: 1637961
• 负责人: David Cappelleri
• 金额: $ 100万
• 依托单位: Purdue University
• 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: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1637961&HistoricalAwards=false
• 关键词: NRI; Towards; Dexterous; Micromanipulation; Assembly

Robots that people are familiar with are large, roughly, human-sized. The theory and design tools for developing such macro-scale robots is well developed. By contrast, the theory and design tools applicable to tiny, or micro-scale, robots is nearly non-existent. The goal of this project is to enable the transition of robot manipulation technology from macro-scale robots to micro-scale robots. The expected project outcomes are: i.) controlled and predictable environments for micro-robotic manipulation and assembly; ii.) a new class of 3D vision-based micro-force sensors and a 3D multi-resolution vision system; and iii.) the identification of dexterous micro-manipulation primitives via human micro-teleoperation with new novel haptic probes. These results will enable the assembly of micro-scale systems that are currently not possible. Such systems are applicable across a wide range of domains, such as cm-to-mm scale robots, micro-sensors, steerable catheters, micro-fluidic, and energy harvesting devices. At the micro-scale, surface forces dominate the interactions causing unpredictable forces. This project aims to lay the foundations for tools, such as simulators, motion planners, controllers, etc., to be developed for this unique micro-scale environment. The research approach is to reduce the uncertainty in forces present in the micro-world to enable dexterous micro-manipulation and assembly. A new class of manipulation substrates, fixtures, micro-parts, and manipulation tools to control and overcome the levels of adhesion forces present in the micro-world will be created. To enable force control, 3D vision-based micro-force sensing probes along with a multi-resolution 3D vision system to detect the micro-forces in real-time will be developed. Dexterous micro-manipulation primitives will be identified from a human tele-operating a multi-probe micro-manipulation system with micro-force feedback in an augmented reality system. How much and what types of micro-force feedback information is needed for the human to perform different tasks will be studied. These motion primitives together with physics-based simulators can reduce uncertainty in motion planners. The insights gained here will dictate the force-control algorithms implemented in future automated systems.

人们所熟悉的机器人体型庞大，大致与人类大小相当。 开发这种宏观机器人的理论和设计工具已经很发达。 相比之下，适用于微型或微型机器人的理论和设计工具几乎不存在。 该项目的目标是实现机器人操控技术从宏观机器人向微观机器人的转变。 预期的项目成果是： i.) 用于微型机器人操作和组装的受控且可预测的环境； ii.) 新型基于 3D 视觉的微力传感器和 3D 多分辨率视觉系统； iii.) 通过使用新型触觉探针的人体微遥控操作来识别灵巧的微操作原语。 这些结果将使目前不可能的微型系统的组装成为可能。 此类系统适用于广泛的领域，例如厘米至毫米级机器人、微传感器、可操纵导管、微流体和能量收集设备。 在微观尺度上，表面力主导相互作用，导致不可预测的力。 该项目旨在为针对这种独特的微尺度环境开发模拟器、运动规划器、控制器等工具奠定基础。 研究方法是减少微观世界中存在的力的不确定性，以实现灵巧的微操纵和组装。 将创建一类新型操纵基板、固定装置、微型零件和操纵工具，以控制和克服微观世界中存在的粘附力水平。 为了实现力控制，将开发基于 3D 视觉的微力传感探头以及用于实时检测微力的多分辨率 3D 视觉系统。 灵巧的微操纵原语将通过人类在增强现实系统中远程操作具有微力反馈的多探头微操纵系统来识别。 将研究人类执行不同任务需要多少和什么类型的微力反馈信息。 这些运动基元与基于物理的模拟器一起可以减少运动规划器的不确定性。 这里获得的见解将决定未来自动化系统中实施的力控制算法。

项目成果

Autonomous Robotic Exploration and Mapping of Smart Indoor Environments With UWB-IoT Devices

使用 UWB-IoT 设备进行智能室内环境的自主机器人探索和测绘

• 发表时间: 2024-09-14
• 作者: Tianyi Wang;Ke Huo;Muzhi Han;Daniel R. McArthur;Ze An;David Cappeleri;K. Ramani
• 通讯作者: K. Ramani

DEVELOPMENT OF AN AUTOMATED FLEXIBLE MICRO-SOLDERING STATION

自动化柔性微焊台的开发

• 发表时间: 2017-01
• 期刊: Proceedings of the ... ASME Design Engineering Technical Conferences
• 作者: Venkatesan, Vinoth;Cappelleri, David J.
• 通讯作者: Cappelleri, David J.

Autofocusing method for high-resolution three-dimensional profilometry

高分辨率三维轮廓测量的自动聚焦方法

• DOI: 10.1364/ol.382431
• 发表时间: 2020-01-15
• 期刊: Optics Letters
• 影响因子: 3.6
• 作者: Xiaowei Hu;Guijin Wang;Jae;Yujin Zhang;Huazhong Yang;Song Zhang
• 通讯作者: Song Zhang

GhostAR: A Time-space Editor for Embodied Authoring of Human-Robot Collaborative Task with Augmented Reality

GhostAR：用于增强现实人机协作任务的具体创作的时空编辑器

• DOI: 10.1145/3332165.3347902
• 发表时间: 2019-01
• 期刊: UIST '19 Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
• 作者: Cao, Yuanzhi;Wang, Tianyi;Qian, Xun;Rao, Pawan S.;Wadhawan, Manav;Huo, Ke;Ramani, Karthik
• 通讯作者: Ramani, Karthik

A Tumbling Magnetic Microrobot System for Biomedical Applications

用于生物医学应用的翻滚磁性微型机器人系统

• DOI: 10.3390/mi11090861
• 发表时间: 2020-09
• 期刊: Micromachines
• 影响因子: 3.4
• 作者: Niedert, Elizabeth E.;Bi, Chenghao;Adam, Georges;Lambert, Elly;Solorio, Luis;Goergen, Craig J.;Cappelleri, David J.
• 通讯作者: Cappelleri, David J.