年份 | 2018 |
学科 | 机器人与智能机器 ROBOTICS AND INTELLIGENT MACHINES |
学校 | Barker College |
国家/州 | Australia |
Autonomous Window Cleaning Robot for Commercial High Rise Buildings
Cleaning external windows on commercial high-rise buildings is expensive and potentially very dangerous as it is traditionally labour intensive. There is an increasing awareness of the commercial benefits of regular window cleaning yet the currently available mechanised solutions are limited in their application.
To address this I designed and built a prototype of an autonomous window cleaning robot that can manoeuvre around architectural obstacles to clean and dry windows in a safe, cost effective and sustainable way.
Through an iterative design approach, I built a small robot with three water dampened disks covered with micro fibre cloth to effectively scrub off bird poo and other contaminates. A windscreen wiper blade follows above the disks to dry the window.
The robot is suspended and tethered from a driven track secured above the building. It uses horizontally mounted drone motors and propellers for propulsion onto and off the window. It autonomously senses the window geometry, cleans the entire pain, then crosses the mullions to the next pain as well as compensating for cross-winds.
The robot is controlled by an open source microprocessor programmed in C++, this interfaces numerous components including: ultrasonic sensors for positional tracking; anemometer and custom circuitry to measure crosswinds and servos to tilt the propellers to compensate; PWM motor controllers for brushed DC motors; a H bridge relay controller to drive the winch motor; PWM controlled ESCs for the brushless DC thrust motors; a custom acceleration routine for the stepper motor that accurately movement along the track.
高中生科研 英特尔 Intel ISEF
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英特尔国际科学与工程大奖赛,简称 "ISEF",由美国 Society for Science and the Public(科学和公共服务协会)主办,英特尔公司冠名赞助,是全球规模最大、等级最高的中学生的科研科创赛事。ISEF 的学术活动学科包括了所有数学、自然科学、工程的全部领域和部分社会科学。ISEF 素有全球青少年科学学术活动的“世界杯”之美誉,旨在鼓励学生团队协作,开拓创新,长期专一深入地研究自己感兴趣的课题。
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· 数学 · 物理 · 化学 · 生物 · 计算机 · 工程 ·
Studies in which the use of machine intelligence is paramount to reducing the reliance on human intervention.
Biomechanics (BIE): Studies and apparatus which mimic the role of mechanics in biological systems.
Cognitive Systems (COG): Studies/apparatus that operate similarly to the ways humans think and process information. Systems that provide for increased interaction of people and machines to more naturally extend and magnify human expertise, activity, and cognition.
Control Theory (CON): Studies that explore the behavior of dynamical systems with inputs, and how their behavior is modified by feedback. This includes new theoretical results and the applications of new and established control methods, system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation.
Machine Learning (MAC): Construction and/or study of algorithms that can learn from data.
Robot Kinematics (KIN): The study of movement in robotic systems.
Other (OTH): Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.
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