Robotics & Machine Learning Daily News2024,Issue(Jun.14) :54-54.

New Findings Reported from Binghamton University Describe Advances in Robotics ( Complete and Near-optimal Robotic Crack Coverage and Filling In Civil Infrastruc ture)

宾汉姆顿大学报告的新发现描述了机器人技术的进步(完全和接近最佳的机器人裂缝覆盖和民用基础设施填充)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :54-54.

New Findings Reported from Binghamton University Describe Advances in Robotics ( Complete and Near-optimal Robotic Crack Coverage and Filling In Civil Infrastruc ture)

宾汉姆顿大学报告的新发现描述了机器人技术的进步(完全和接近最佳的机器人裂缝覆盖和民用基础设施填充)

扫码查看

摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx编辑在纽约宾汉顿的新闻报道,Research H指出:“我们提出了一种基于传感器的同时检测和足迹覆盖年龄(SIFC)的规划和控制设计,并应用于自主机器人C机架的映射和填充。SIFC问题的主要挑战在于完全传感(用于映射)和机器人足迹(用于填充)Cove Rage任务的耦合。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting out of Binghamton, New York, by NewsRx editors, researc h stated, “We present a simultaneous sensor-based inspection and footprint cover age (SIFC) planning and control design with applications to autonomous robotic c rack mapping and filling. The main challenge of the SIFC problem lies in the cou pling of complete sensing (for mapping) and robotic footprint (for filling) cove rage tasks.”

Key words

Binghamton/New York/United States/North and Central America/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Binghamton University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文