Multi-Robot Tools and Techniques for Exploration and Mobile Surveying

用于勘探和移动测量的多机器人工具和技术

• 批准号: RGPIN-2015-04025
• 负责人: Marshall, Joshua
• 金额: $ 1.82万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612727
• 关键词: Multi; Robot; Tools; Techniques; Exploration

Whether working on Earth or beyond, access to accurate and timely geospatial information about one's operating environment is critical to matters of planning, productivity, and safety.  For example, mapping of the discontinuity planes in a rock mass is an important input to the process of designing appropriate ground support systems in mining, or for understanding geological processes on Mars.  Yet, most contemporary tools for geospatial surveying and mapping remain highly manual, utilize stationary platforms (e.g., are tripod-mounted), and thus depend significantly on physical presence of and input by human operators.  Most techniques also rely on data from only one source at a time and on the availability of satellite-based GPS information for geolocation, which is often not practical (e.g., in underground excavations).  The essence of this application is born from the realization that there exists a significant and unexplored opportunity in the combination of ideas from contemporary field robotics with the real problems of geospatial surveying and mapping in remote, harsh, uncertain, and unstructured environments where human presence is either not possible, hindered in some way, or highly undesirable (e.g., deep underground, far north, on other planets). The long-term objective of this research program is to develop an engineering basis for "mobile" surveying and geospatial data collection, with applications in mining and remote exploration activities; i.e., to create new provable, robust, and practical algorithms that achieve marked improvement over existing techniques that do not exploit the use of mobile equipment and/or lack development from an engineering point of view.  In particular, this research focuses on multi-robot localization and mapping problems that combine features of the environment (e.g., underlying geological structures) with the additional flexibility that multiple mobile platforms afford over stationary surveying devices.  This program will fund to completion mostly Master's (3) and PhD (2) students to develop relevant skills (e.g., system modelling, simulation, and robotics) through two short-term research strands that are are planned for the period covered by this grant application: 1) a techniques strand will establish a fundamental framework for mobile robotic surveying that is independent of both the types of mobile platforms available (e.g., ground, air, water) and, as much as possible, independent of the types of sensors available (e.g., cameras, LiDAR); and, 2) a tools strand will focus on validating this research through the development of at least one practical example related to rock mass characterization in mining.  This work, in turn, will contribute to a body of basic research that is suitable to a spectrum of engineering applications, including not only planetary and mining operations, but possibly also civil engineering and security robotics.

无论是在地球上还是在其他地方工作，获取准确和及时的有关操作环境的地理空间信息对于规划、生产力和安全问题都是至关重要的。例如，绘制岩体中不连续面的地图对于设计采矿中适当的地面支持系统的过程或了解火星上的地质过程是一项重要的投入。然而，大多数现代地理空间测绘工具仍然高度手工，使用固定平台(例如，安装在三脚架上)，因此在很大程度上依赖于人工操作人员的实际存在和输入。*大多数技术一次只依赖一个来源的数据，并依赖基于卫星的全球定位系统信息进行地理定位，这往往是不切实际的(例如，在地下挖掘中)。这一应用的本质源于这样一种认识，即在偏远、恶劣、不确定和无结构的环境中，将当代现场机器人的想法与地理空间测绘的实际问题结合起来，存在着一个重大的和尚未探索的机会，在这些环境中，人类的存在要么是不可能的，要么是以某种方式受到阻碍，或者是非常不受欢迎的(例如，地下深处、遥远的北方、其他星球上)。 这项研究计划的长期目标是为“移动”测量和地理空间数据收集开发一个工程基础，并将其应用于采矿和远程勘探活动；即，创建新的可证明的、健壮的和实用的算法，以实现对现有技术的显著改进，这些技术没有利用移动设备和/或从工程角度来看缺乏发展。尤其是，这项研究侧重于多机器人定位和测绘问题，这些问题结合了环境特征(例如，底层地质结构)和多个移动平台相对于固定测量设备提供的额外灵活性。该计划将资助大部分硕士(3)和博士(2)学生通过两个短期研究链发展相关技能(例如，系统建模、仿真和机器人学)，这两个短期研究链是在本赠款申请所涵盖的时期内计划的：1)技术链将为移动机器人测量建立一个基本框架，该框架独立于可用的移动平台类型(例如，地面、空气、水)，并尽可能独立于可用的传感器类型(例如，相机、激光雷达)；以及，2)一个工具链将专注于通过开发至少一个与采矿中的岩石特征有关的实际例子来验证这项研究。这项工作反过来将有助于一系列适用于各种工程应用的基础研究，这些应用不仅包括行星和采矿作业，还可能包括土木工程和安全机器人。