本專題構想著重於個人健康即時管理,由心跳、體溫及計步測量功能,協助個人即時了解測量數據中所呈現的當下身體狀況。運用後端資料庫所儲存的資料,經過資料處理後,不僅即時資料可顯示於網頁中,當日或每日歷史紀錄皆可顯示於網頁,以利個人電腦及手持裝置瀏覽及查尋。
主要目標是建立心跳、體溫及計步感知數值在網頁回報資訊如圖所示。我們以重力感測器(G-Sensor, MPU-6050)因人體行走所感測出來步數數值,以及體溫測定器(MLX-90614)測量當時心跳數值,再來就是心跳偵測器 (SEN-11574)所測量出的體溫數值。重力感測器經由主從串列通訊匯流排(I2C),以Slave-to-Master方式傳輸資料至嵌入式處理器。至於心跳偵測器則由類比數位資料轉換(ADC),以類比轉數位方式傳輸資料至嵌入式處理器(MCU)。接著藉由MCU的無線網路模組(ESP-8266),由無線網路連線以TCP PORT 8000將資料傳送至Raspberry Pi的資料庫系統(SQL-Like),做為後端伺服器資料儲存。後端網頁通訊服務(Tornado)以TCP PORT 8888通訊方式,提供每隔三秒將資料更新到前端網頁伺服器(Apache)頁面,讓電腦或手持式裝置可以瀏覽http顯示頁面上的數值資訊。
本專題構想著重於個人健康即時管理,由心跳、體溫及計步測量功能,協助個人即時了解測量數據中所呈現的當下身體狀況。運用後端資料庫所儲存的資料,經過資料處理後,不僅即時資料可顯示於網頁中,當日或每日歷史紀錄皆可顯示於網頁,以利個人電腦及手持裝置瀏覽及查尋。
主要目標是建立心跳、體溫及計步感知數值在網頁回報資訊如圖所示。我們以重力感測器(G-Sensor, MPU-6050)因人體行走所感測出來步數數值,以及體溫測定器(MLX-90614)測量當時心跳數值,再來就是心跳偵測器 (SEN-11574)所測量出的體溫數值。重力感測器經由主從串列通訊匯流排(I2C),以Slave-to-Master方式傳輸資料至嵌入式處理器。至於心跳偵測器則由類比數位資料轉換(ADC),以類比轉數位方式傳輸資料至嵌入式處理器(MCU)。接著藉由MCU的無線網路模組(ESP-8266),由無線網路連線以TCP PORT 8000將資料傳送至Raspberry Pi的資料庫系統(SQL-Like),做為後端伺服器資料儲存。後端網頁通訊服務(Tornado)以TCP PORT 8888通訊方式,提供每隔三秒將資料更新到前端網頁伺服器(Apache)頁面,讓電腦或手持式裝置可以瀏覽http顯示頁面上的數值資訊。
在住家中,由於裝潢的因素,佈線是一個最大的問題。本專題特別選用 ESP8266(WiFi) 做為感測器與控制主機的通訊,並在控制主機上架設 WiFi AP,避免影響使用者家中現有的 AP 或使用者沒有 AP 的情況。
智慧家庭使用 Raspberry Pi 當控制主機,接收由 Arduino 控制的各種感測器(溫溼度、人體紅外線、CO偵測、RFID感應、門鎖控制、磁簧開關、閃光喇叭、燈光、風扇等)的資訊。
Arduino 透過 ESP8266 利用 WiFi 連線到 Raspberry Pi 上的 WiFi AP 傳送訊號,Raspberry Pi 透過 Ethernet 連到雲端讓使用者離開家中仍然可以遠端監控狀態。
本系統預計規劃為三個階段:
一、能在 Raspberry Pi 上的 web 顯示與控制各種感測器
二、能在遠端使用 web 監控各種感測器
三、能使用時序控制、連動控制
在住家中,由於裝潢的因素,佈線是一個最大的問題。本專題特別選用 ESP8266(WiFi) 做為感測器與控制主機的通訊,並在控制主機上架設 WiFi AP,避免影響使用者家中現有的 AP 或使用者沒有 AP 的情況。
智慧家庭使用 Raspberry Pi 當控制主機,接收由 Arduino 控制的各種感測器(溫溼度、人體紅外線、CO偵測、RFID感應、門鎖控制、磁簧開關、閃光喇叭、燈光、風扇等)的資訊。
Arduino 透過 ESP8266 利用 WiFi 連線到 Raspberry Pi 上的 WiFi AP 傳送訊號,Raspberry Pi 透過 Ethernet 連到雲端讓使用者離開家中仍然可以遠端監控狀態。
本系統預計規劃為三個階段:
一、能在 Raspberry Pi 上的 web 顯示與控制各種感測器
二、能在遠端使用 web 監控各種感測器
三、能使用時序控制、連動控制
In the accomplishment of completion of our project on “WIRELESS SURVEILLANCE ROBOT” ,We would like to convey our special gratitude to our Project Guide Dr. Reeta Verma, Assistant Professor, Department of Electronics and Communication Engineering and Dr. Sanjay Mathur, Head, Department of Electronics and Communication Engineering.
Your valuable, guidance and suggestions helped us in various phases of the completion of this project. We will always be thankful to you in this regard.
We would also like to thank all our friends, family, seniors, PG Students and especially our classmates for their continues support and help during the making of this project. At last we individually like to thanks each one of us in the group for their support and contribution in making this project a success.
Use of robotics will be essential in construction and maintenance due to multistoreyed structures coming up, safety, quality and limited time available for construction and maintenance activities.
Fire Detector and Extinguisher Robot is operated to detect the fire and also to extinguish it. It can be operated in two modes one is manual mode and other is autonomous mode. Manual mode is operated using joysticks and for autonomous mode there is no human intervention. In manual mode direction of the robot is controlled using joysticks, even pump is operated manually. In autonomous mode IR sensors are used to detect the fire and robot is coded accordingly to move in the direction of detected fire. In this robot has a switch which is used to switch between manual and autonomous mode.
This slides shows about the locomotion of snake robot along with its construction, making and also includes its parts and some references as Reseach papers.
Something to start with, until I catch up from last week’s chemistry.docxbryanwest16882
Something to start with, until I catch up from last week’s chemistry team project, and get something put together for this and next week’s GOM team project.
NOVA - Official Website | Rise of the Drones - PBS
www.pbs.org/wgbh/nova/military/rise-of-the-drones.html
"
Rise of the Drones
" is produced by
WGBH
, which maintains complete editorial control over all episodes of
NOVA
. Lockheed Martin was a minor funder of the ...
Rise of the Drones
Meet a new breed of flying robots, from tiny swarming vehicles to giant unmanned planes. Aired January 23, 2013 on PBS
Program Description
(Program not available for streaming.) Drones. These unmanned flying robots–some as large as jumbo jets, others as small as birds–do things straight out of science fiction. Much of what it takes to get these robotic airplanes to fly, sense, and kill has remained secret. But now, with rare access to drone engineers and those who fly them for the U.S. military, NOVA reveals the amazing technologies that make drones so powerful as we see how a remotely-piloted drone strike looks and feels from inside the command center. From cameras that can capture every detail of an entire city at a glance to swarming robots that can make decisions on their own to giant air frames that can stay aloft for days on end, drones are changing our relationship to war, surveillance, and each other. And it's just the beginning. Discover the cutting edge technologies that are propelling us toward a new chapter in aviation history as NOVA gets ready for "Rise of the Drones."
More
"Rise of the Drones" is produced by WGBH, which maintains complete editorial control over all episodes of NOVA. Lockheed Martin was a minor funder of the NOVA series at the time this program was originally broadcast. Lockheed Martin produces the RQ-170 Sentinel drone technology mentioned in the program.
Rise of the Drones - Documentary (PBS Documentary Film) - YouTube
▶
52:57
https://www.youtube.com/watch?v=GiTTX0WFBOg
Jan 14, 2016 - Uploaded by CC Documentary
Program Description
Drones
. These unmanned flying robots–some as large as jumbo jets, others as small as ...
0:01 / 52:56
Rise of the Drones - Documentary (PBS Documentary Film)
CC Documentary
129
251 views
Published on Jan 14, 2016
Program Description
Drones. These unmanned flying robots–some as large as jumbo jets, others as small as birds–do things straight out of science fiction. Much of what it takes to get these robotic airplanes to fly, sense, and kill has remained secret. But now, with rare access to drone engineers and those who fly them for the U.S. military, NOVA reveals the amazing technologies that make drones so powerful as we see how a remotely-piloted drone strike looks and feels from inside the command center. From cameras that can capture every detail of an entire city at a glance to swarming robots that can make decisions on their own to giant air frames that can stay aloft for days on end, drones are changing our .
Smartphone Controlled Robotic Vehicle with Unique Bearing Alignment Mechanism...ijtsrd
Robotics technology is rapidly developing in engineering because it can automate complex activities with higher accuracy and speed. Previously, only trained humans in a bomb suit could do duties that automated and autonomous equipment can now perform. In many situations, human attention is not required, such as discovering and spreading explosives, monitoring a site, or identifying land mines.For safety reasons, the robotic vehicle in this project will use a 6 degree robotic arm to pick and place a dangerous object. The robot vehicle is remote operated using an Android application via Bluetooth. The Bluetooth device connects to the microcontroller to run DC motors through a motor driver IC. Any Android smartphone tablet etc. can execute remote control through touch screen GUI Graphical User Interface . In this case, Arduino controls the whole setup, increasing circuit complexity and speed. The robotic system consists of a manipulator, an end effector, a moving base, and a camera for visual inputs. These power the robotic arms joints, linkages, and end effectors. The Rocker Bogie method allows the robot to travel more readily on any terrain. Whiley Samuel Effiom | Akwukwaegbu, Isdore Onyema | Nsan-Awaji Peterson Ene-Nte "Smartphone Controlled Robotic Vehicle with Unique Bearing-Alignment Mechanism and Robotic Arm for Dangerous Object Disposal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49298.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/49298/smartphone-controlled-robotic-vehicle-with-unique-bearingalignment-mechanism-and-robotic-arm-for-dangerous-object-disposal/whiley-samuel-effiom
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
自走拆彈車的研究和實作
1. 艾鍗學院嵌入式軟 體工程師設計養成班 韌
自走拆彈車的研究和實作
Bomb disposal robots Project
組長: 葉長青 Ensign Yeh
組員: 劉家俐 Lauren Liu
Abstract
Robots go where humans fear to tread. Of their many applications, bomb disposal is one of the
most hazardous, where the risk of death lurks with every move.
機器人會使用在人類不敢涉足的場合中。像是炸彈處理就是一個許多最危險的應用之一,在那樣的場合
中一舉一動都隱含著導致死亡的風險。
Bomb disposal robots have been used to safely disable explosive ordnance for over 40 years,where
they have been deployed hundreds, if not thousands, of times. However, the term “bomb disposal
robot” is something of a misnomer, as they are not technically robots.
拆彈機器人已被用於安全地拆除爆炸物超過 40 年,在實務上已經部署了數百,甚至數千次。然而,術
語
“炸彈處理機器人“是有些用詞不當,因為它們從技術上而言並非是 ‘正港’的機器人。
According to the Oxford English Dictionary,
a robot is “a machine capable of carrying out a complex series of actions automatically”.
Bomb disposal robots cannot perform contextual decision-making or operate by themselves.
1
2. Instead, bomb disposal robots are more accurately defined as drones, much like
unmanned vehicles, as they are remotely controlled by a human operator from afar.
根據牛津英語詞典的解釋,
機器人是“能自動地進行一系列複雜的動作的機器”。
然而現實面中拆彈機器人無法自動的執行拆除炸彈的決策或程序。
相反的,拆彈機器人更準確地定義為無人駕駛飛機,很像無人駕駛車輛,因為它們是通過遠程操作人
員
從遠方來進行控制的。
These robots operate as a remote presence for the bomb disposal experts, or “bomb doctors”
as they are known within the Army.
在軍隊內部稱呼這些可經由遠程遙控的機器人為拆彈專家,或“炸彈醫生”。
This allows them to closely examine devices, without putting themselves or others in danger.
Once the device has been examined, the robot can (hopefully) then render the bomb inert.
It is not just bombs that the robots disable, but also any type of device that could detonate.
This can include anything from landmines to unexploded munitions.
這使他們能 仔細檢 可疑爆裂物夠 查 (或設備),沒人會把自己或他人曝露於危險之中。一旦可疑爆裂物(或
設備)已被確認,機器人可以(或有希望的)致使炸彈失效。拆彈機器人不單只是讓炸彈失效,而且任何
類型的可疑爆裂物(或設備),可以被引爆。這包括地雷及未爆彈等等。
One of the first bomb disposal robots created was the Wheelbarrow Mark 1. In 1972,
Lieutenant-Colonel Peter Miller of the British Army came up with the idea of using the
chassis of an electrically-powered wheelbarrow to tow suspect devices, such as car bombs,
so they could be safely detonated without harming anyone.
2
3. 第一個拆彈機器人是由英國陸軍中校彼得·米勒提出的想法,進而於 1972 年創造出了[手推車] Mark 1,
使用一個電動獨輪車的底盤 曳著可疑爆裂物拖 (或設備),如汽車炸彈等,這樣他們就可以被安全地引爆,
而不傷害任何人。
However, the prototype Wheelbarrow proved difficult to manoeuver,
so the Military Vehicles and Engineering Establishment in Chertsey were brought in to improve
the control and tracking systems.
然而,原型手推車證明難以操縱,因此,徵召了軍用車輛和工程小組來改善控制和跟踪系統的(徹特西)
被推出了。
Later, Miller added Major Robert Patterson’s “pigstick” – the army’s term for a strong
waterjet – to the Wheelbarrow. This allowed the Wheelbarrow to disable bombs,
rather than simply tow them away.
後來,米勒補強了羅伯特·帕特森的“pigstick” – 在軍用版本上增加了水刀。這使得(手推車)可使炸
彈失效,而不是簡單地 他們離開。拖
3
4. 早期的拆彈機器人是通過繁瑣的控制電纜來進行控制
(Credit: Getty Images)
The key to modern bomb disposal operations is to the render the explosive ordnance device
inert without causing it to detonate. Bomb disposal robots typically achieve this by firing
a high-pressure jet of water at wires on the device.
現代炸彈處理操作的關鍵是要使的爆裂物裝置失效,而不會導致其引爆。為了實現這一目標,拆彈機器
人通常使用高壓噴射的水噴射在可疑爆裂物(或設備)上的電線。
An explosive device usually requires a power supply to detonate: disrupting this wire means
the circuit is broken and thus rendered inert, if not safe.
一個爆炸裝置通常需要電源引爆:如果不是安全的情況下~~透過破壞這爆裂物裝置的電線或電路的手
段
因而讓爆裂物裝置失效。
4
5. However, some devices have secondary systems that can cause the device to explode if it is
tampered with. This is why bomb disposal is best carried out by a robot.
然而,一些讓爆裂物裝置具有輔助系統,當此讓爆裂物裝置線路被 改時,可導致篡 讓爆裂物裝置發生
爆
炸。這就是為什麼處理可疑爆裂物(或設備)最好由機器人來進行。
“When they drive the robot, they are looking for where they can fire the jet of water,”
says an army spokesperson. “If they fire into a wire and the wire comes off, it is rendered
safe, or at least for someone to go forward and declare it safe. This is why you do not get
enormous explosions when they do this.”
軍隊的發言人說:在拆彈的過程中你沒有聽到巨大的爆炸聲,當拆完炸彈後也只有人會宣布“已安全”
其實是因為拆除的過程使用高壓水柱將爆裂物(或設備)的電路或線路沖脫致使爆裂物失效。
Bomb disposal robots are controlled by operators from a safe distance. They are able to see
what the robot sees, through a series of cameras on the robot’s outer casing,
with the view transmitted to the operators’ monitors. Usually, there is a camera mounted on
the front of the robot, so the operator is able to see where the robot is going, along with
a second camera mounted on the actuator arm to provide a wider view of the surrounding area.
操作人員是在安全距離控制拆彈機器人的。他們能 看到機器人所看到的,通過一系列的相機上的機械夠
手的外殼,與傳送給操作人員的監控視訊。通常,在機器人的前方有安裝照相機,所以操作者能 看到夠
5
6. 的機器人的走向,與沿著致動器臂上安裝的第二相機以提供周圍區域的更 的視訊。寬
The original bomb disposal robots were controlled by a series of ropes. But, as technology
advanced, a telecommunications cable was used to transmit commands to the robot’s
electrical systems. However, cables gave the bomb disposal robot a restricted operational
radius.
早先的拆彈機器人是由一系列的繩索控制。但是,隨著技術的先進,電信電纜被用於傳輸命令到機器人
的電氣控制系統。然而,拆彈機器人操作受到電信電纜限制,如~~操作半徑限制等。
There was also the risk of the cable becoming caught or tangled on objects – much like you
might encounter with a garden hose or a vacuum cleaner.These days the majority of bomb disposal
robots are controlled through wireless communications.
還有電纜就像你與花園水管或真空吸塵器會有糾結的風險 – 目前大部分拆彈機器人通過無線通信控制。
Whilst this does dramatically increase their operational range, there is also the possibility of
hacking, although this is remote due to the layers of military security involved.
Typically, you do not have line-of-sight and usually [the bomb disposal robots] are also thrown
by hand,so you do not want an umbilical trailing from that,”In this case, they are very similar
to drones, with a range of a couple of kilometres.
雖然這會顯著提高其工作範圍,也有被駭的可能性,此為軍事安全所涉及的層面。
通常情況下,沒有了線的糾纏,通常[拆彈機器人]也可以用手 ,所以你不希望有個像臍帶的東西 住扔 拖 ,
在這種情況下,[拆彈機器人]都跟射程幾公里的無人機非常相似。
The design of bomb disposal robots has changed remarkably little since they were first created,
6
7. as the core idea remains the same. Whilst the technology has become smaller and more robust,
bomb disposal robots are still tracked, human-controlled robots, with an ‘arm’ that can manipulate
suspect devices.
目前拆彈機器人的設計比早期來的精巧許多,但核心思想是相同的。雖然拆彈機器人技術已變得更小且
更強大的拆彈機器人還在跟進,人類控制的機器手臂,已可以使可疑爆裂物(或設備)就範。
In terms of their mobility, bomb disposal robots have gone from having a single pair of tank-like
caterpillar tracks, to variants with two pairs of caterpillar tracks and others that have six
or more wheels. This allows bomb disposal robots to traverse ever more difficult terrain.
Some designs can even climb stairs.
目前在拆彈機器人機動性方面,炸彈拆彈機器人已經從具有單對履帶,有兩對履帶的和其他有到六對履
帶或多個輪子。這讓拆彈機器人行走在更加困難的地形。有些設計甚至能爬樓梯。
拆彈機器人可以處理可疑爆裂物(或設備)並且不會威脅人員
7
8. (Credit: Getty Images)
一些較新的型號甚至能爬樓梯
(Credit: Science Photo Library)
The arm of bomb disposal robots allows great versatility. Most bomb disposal teams now
carry different tools which can be attached to it. This allows the robot to bypass various
obstacles that would otherwise impede its progress,
such as using wire-cutters to cut wire fences.
拆彈機器人臂允許很大的通用性。現在大多數的炸彈處理小組攜帶可連接到其不同的工具。這允許機器
人繞過各種障礙,否則將阻礙其前進,如用鋼絲鉗切斷鐵絲網等。
Given that bomb disposal robots are intended to operate in a variety of hostile conditions,
they are able to withstand a significant amount of punishment. “Most of the cost goes into
making the electronics and the sensors robust in really brutal conditions,”
8
9. 鑑於炸彈處理機器人可以在各種敵對條件下操作,它們能 承受殘酷的現實考驗。 “大部分的成本是花夠
費在使電子元件和傳感器在殘酷惡劣的環境中穩定的工作著。
Bomb disposal robots vary in size, from the stripped-down backpack sized robots that can be
carried on a soldier’s back and thrown into buildings,to the size of a ride-on lawnmower, armed
with x-ray devices and explosives detectors.
拆彈機器人大小不等,從精簡的背包大小的機器人,可以背在一個士兵的背部及 進建築,甚至如騎乘扔
式割草機的規模,武裝用 X 射線設備和爆炸物檢測器。
Initially, the controls for these robots were complicated, requiring specific training;
now games console controllers are being used to operate them.“The prerequisite, in such
high-pressure environments, is to make the controls as intuitive and as simple as possible,”
Now we can put [in] very sophisticated functionality, but it needs to be operated by a typical
layman and not a roboticist. It would literally be like a joystick or game controller.”
最初,這些機器人的控制是複雜的,需要經過具體的訓練;然而現在遊戲控制台的控制器被用來操作拆
彈
機器人。“在這種高壓的環境中,如何使控制直觀和盡可能簡單,此為大前提“
目前可以加入非常複雜的功能,只需要普通人就能操作自如,而不是一個機器人專家。看起來像是一個
搖桿或遊戲控制器“。
The advancement in robotics and remote control systems has meant that bomb disposal robots will
become increasingly adaptable to their environments in the future. There are prototypes being
developed that are able to jump over walls and land on the other side. Others are being developed
9
10. that have two arms, providing bomb disposal robots with greater manual dexterity, such as
allowing them to open car boots and look inside.
機器人和遠程控制系統的進步意味著拆彈機器人將越來越適應其在未來的環境。有原型是開發出能 跳夠
過牆壁和陸地上的另一側。更為正在開發有兩隻手臂,提供了拆彈機器人具有更大的手巧,如
讓他們打開車的行李廂和看看。
Rather than using a single robot, function-specific robots are also being developed. These will
operate together in teams, where one robot is tasked with sniffing out explosives and another
with their disposal.
而不是使用單一機器人,特定功能的機器人也正在開發。這些特定功能的機器人將在團隊中運作,其中
一個機器人的任務是嗅出炸藥和另一個一起運行拆彈的處置。
As the technology behind bomb disposal robots improves, so too has the number of lives they
have saved.“One of the target areas, in terms of [the] use of robots, is for going into dangerous
situations,”“Robots can go in, be operated from a safe distance, and, in a worst-case scenario,
be sacrificed.”
在拆彈機器人技術的改進的背後,是有無數的生命可被獲救的。“其中一個目標領域,使用機器人而言,
是在危險情況下“,”機器人可以進去,可以在安全距離操作,並且,在最壞的情況下,被犧牲“。
This our concludes~~~~!!
這是我們總結
Key Words; Bomb disposal robots, unmanned vehicles, wireless communications,
10
11. military security ,Telecommunications,remote, hacking, manipulate suspect devices,
mobility,tank-like caterpillar tracks, climb stairs, games console controllers
System Function Block:
11
車輛控制系統
Car Control System
Raspberry Pi 3 主板
System Control Protocol (Python)
USB
Robot
Arm
Protocol
Arduino
Program
Lib
Robot
Arm
Control
Video
Sensor
Protocol
Video
Sensor
Control
Real Time OS for
Arduino DUE Cortex M3
( 3 Axis Motion Control )
Right/Left Motor and
Turret Motor Synchronize
Control
Multi Task program for
Arduino DUE Cortex M3
( Misc. I/O Control )
UART Protocol
Build in
Blue
tooth
Build in
WiFi
地面控制站
Ground Control Station
人機操作介面 (Python)
Raspberry Pi 3 主板
USB
Arduino Nano
德製 Graupner GR-
24 搖控飛機用 12
通道接收機
德製 Graupner
MC-22 搖控飛機
用 16 通道搖控器
2.4G
12Pin IO
Output
Build in
Blue
tooth
Build in
WiFi
Arduino Program Lib