Autonomous Drones - Revision history

BPeat at 12:58, 16 June 2024

2024-06-16T12:58:18Z

BPeat at 12:16, 16 June 2024

2024-06-16T12:16:52Z

BPeat at 12:12, 16 June 2024

2024-06-16T12:12:18Z

BPeat: /* Python */

2024-04-20T22:42:12Z

‎Python

BPeat: /* Python */

2024-04-20T22:40:59Z

‎Python

BPeat: /* Python */

2024-04-20T22:38:44Z

‎Python

BPeat at 22:36, 20 April 2024

2024-04-20T22:36:08Z

BPeat at 22:31, 20 April 2024

2024-04-20T22:31:43Z

BPeat at 22:24, 20 April 2024

2024-04-20T22:24:44Z

BPeat at 22:21, 20 April 2024

2024-04-20T22:21:54Z

@@ Line 18: / Line 18: @@
 * [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]]
-* [[Simulation]] ... [[Simulated Environment Learning]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]]
+* [[Simulation]] ... [[Simulated Environment Learning]] ... [[World Models]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]]
 * [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
 * [[Policy]]   ... [[Policy vs Plan]] ... [[Constitutional AI]] ... [[Trust Region Policy Optimization (TRPO)]] ... [[Policy Gradient (PG)]] ... [[Proximal Policy Optimization (PPO)]]

@@ Line 18: / Line 18: @@
 * [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]]
-* [[Simulation]] ... [[Simulated Environment Learning]]
+* [[Simulation]] ... [[Simulated Environment Learning]] ... [[Minecraft]]: [[Minecraft#Voyager|Voyager]]
 * [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
 * [[Policy]]   ... [[Policy vs Plan]] ... [[Constitutional AI]] ... [[Trust Region Policy Optimization (TRPO)]] ... [[Policy Gradient (PG)]] ... [[Proximal Policy Optimization (PPO)]]

@@ Line 17: / Line 17: @@
 [https://www.google.com/search?q=autonomous+Drones+deep+machine+learning+ML ...Google search]
-* [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[3D Simulation Environments]] ... [[Simulated Environment Learning]] ... [[Point Cloud]]
+* [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]]
 * [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
 * [[Policy]]   ... [[Policy vs Plan]] ... [[Constitutional AI]] ... [[Trust Region Policy Optimization (TRPO)]] ... [[Policy Gradient (PG)]] ... [[Proximal Policy Optimization (PPO)]]

@@ Line 55: / Line 55: @@
 To use Python with your UAV or drone, you can leverage various libraries and frameworks that enable communication, control, and programming capabilities. Python, along with libraries like DroneKit-Python, provides a powerful platform for programming and controlling drones. Whether you want to perform autonomous flight, integrate computer vision, or experiment with machine learning, Python offers a versatile and accessible environment for drone programming.  Here are some key points to consider:
+* <b>DroneKit-Python:</b> DroneKit-Python is a popular library that allows you to communicate with and control drones using Python. It provides a high-level API for interacting with the drone's flight controller firmware, such as ArduPilot. DroneKit-Python enables you to send commands to the drone, receive telemetry data, and perform autonomous flight operations.
-* DroneKit-Python: DroneKit-Python is a popular library that allows you to communicate with and control drones using Python. It provides a high-level API for interacting with the drone's flight controller firmware, such as ArduPilot. DroneKit-Python enables you to send commands to the drone, receive telemetry data, and perform autonomous flight operations.
+* <b>MAVLink Protocol:</b> The MAVLink protocol is a lightweight messaging protocol used for communication between ground control stations and drones. DroneKit-Python utilizes MAVLink to establish a connection with the drone and exchange commands and telemetry data. Understanding the MAVLink protocol is essential for working with DroneKit-Python.
-* MAVLink Protocol: The MAVLink protocol is a lightweight messaging protocol used for communication between ground control stations and drones. DroneKit-Python utilizes MAVLink to establish a connection with the drone and exchange commands and telemetry data. Understanding the MAVLink protocol is essential for working with DroneKit-Python.
+* <b>Computer Vision Integration:</b> Python's extensive computer vision libraries, such as OpenCV, can be integrated with drone programming. By combining computer vision algorithms with drone control, you can implement functionalities like object detection, tracking, and image processing. This opens up possibilities for applications like autonomous navigation, surveillance, and inspection.
-* Computer Vision Integration: Python's extensive computer vision libraries, such as OpenCV, can be integrated with drone programming. By combining computer vision algorithms with drone control, you can implement functionalities like object detection, tracking, and image processing. This opens up possibilities for applications like autonomous navigation, surveillance, and inspection.
+* <b>Simulated Environments:</b> If you don't have access to a physical drone, you can still learn and experiment with drone programming using simulated environments. Simulators like Gazebo and AirSim provide virtual environments where you can test and develop your drone control algorithms without the need for hardware.
-* Simulated Environments: If you don't have access to a physical drone, you can still learn and experiment with drone programming using simulated environments. Simulators like Gazebo and AirSim provide virtual environments where you can test and develop your drone control algorithms without the need for hardware.
+* <b>Additional Libraries:</b> Besides DroneKit-Python, other Python libraries like PySerial can be used to establish communication with the drone via serial ports. These libraries enable you to send and receive commands, access sensor data, and control the drone's behavior. Additionally, libraries like TensorFlow and PyTorch can be utilized for advanced machine learning applications on drones.
 <youtube>cIsddY4SKgA</youtube>

@@ Line 53: / Line 53: @@
 [https://www.google.com/search?q=Python+autonomous+Drones+deep+machine+learning+ML ...Google search]
-To use Python with your UAV or drone, you can leverage various libraries and frameworks that enable communication, control, and programming capabilities. Here are some key points to consider:
+To use Python with your UAV or drone, you can leverage various libraries and frameworks that enable communication, control, and programming capabilities. Python, along with libraries like DroneKit-Python, provides a powerful platform for programming and controlling drones. Whether you want to perform autonomous flight, integrate computer vision, or experiment with machine learning, Python offers a versatile and accessible environment for drone programming.  Here are some key points to consider:
-DroneKit-Python: DroneKit-Python is a popular library that allows you to communicate with and control drones using Python. It provides a high-level API for interacting with the drone's flight controller firmware, such as ArduPilot. DroneKit-Python enables you to send commands to the drone, receive telemetry data, and perform autonomous flight operations
+* DroneKit-Python: DroneKit-Python is a popular library that allows you to communicate with and control drones using Python. It provides a high-level API for interacting with the drone's flight controller firmware, such as ArduPilot. DroneKit-Python enables you to send commands to the drone, receive telemetry data, and perform autonomous flight operations.
+* MAVLink Protocol: The MAVLink protocol is a lightweight messaging protocol used for communication between ground control stations and drones. DroneKit-Python utilizes MAVLink to establish a connection with the drone and exchange commands and telemetry data. Understanding the MAVLink protocol is essential for working with DroneKit-Python.
+* Computer Vision Integration: Python's extensive computer vision libraries, such as OpenCV, can be integrated with drone programming. By combining computer vision algorithms with drone control, you can implement functionalities like object detection, tracking, and image processing. This opens up possibilities for applications like autonomous navigation, surveillance, and inspection.
+* Simulated Environments: If you don't have access to a physical drone, you can still learn and experiment with drone programming using simulated environments. Simulators like Gazebo and AirSim provide virtual environments where you can test and develop your drone control algorithms without the need for hardware.
-MAVLink Protocol: The MAVLink protocol is a lightweight messaging protocol used for communication between ground control stations and drones. DroneKit-Python utilizes MAVLink to establish a connection with the drone and exchange commands and telemetry data. Understanding the MAVLink protocol is essential for working with DroneKit-Python
+* Additional Libraries: Besides DroneKit-Python, other Python libraries like PySerial can be used to establish communication with the drone via serial ports. These libraries enable you to send and receive commands, access sensor data, and control the drone's behavior. Additionally, libraries like TensorFlow and PyTorch can be utilized for advanced machine learning applications on drones.
 <youtube>cIsddY4SKgA</youtube>

@@ Line 27: / Line 27: @@
 * [https://interestingengineering.com/innovation/guardian-of-drone-chinese-scientists-create-new-invisibility-cloak ‘Guardian of drone’: Chinese scientists create new invisibility cloak | Jijo Malayil - Interesting Engineering] ... Advancement lies in controlling metasurfaces to shape scattering fields across space and frequency using spatiotemporal modulation.
+* <b>Precision Agriculture and Infrastructure Assessment:</b> In agriculture, AI algorithms can identify patterns and anomalies in fields, enabling targeted interventions and reducing the need for manual inspection. AI-driven drones autonomously assess infrastructure damage after natural disasters, reducing response times and improving disaster management efforts. These drones can scan large agricultural fields and collect data on crop health, irrigation, and soil moisture, creating 3D maps of construction sites, and monitoring progress over time.
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← Older revision		Revision as of 22:31, 20 April 2024
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	* [https://arstechnica.com/information-technology/2023/08/high-speed-ai-drone-beats-world-champion-racers-for-the-first-time/ High-speed AI drone beats world-champion racers for the first time \| Benj Edwards - ARS Tecnnica] ... University of Zürich creates the first autonomous system capable of beating humans at drone racing.		* [https://arstechnica.com/information-technology/2023/08/high-speed-ai-drone-beats-world-champion-racers-for-the-first-time/ High-speed AI drone beats world-champion racers for the first time \| Benj Edwards - ARS Tecnnica] ... University of Zürich creates the first autonomous system capable of beating humans at drone racing.
	* [https://interestingengineering.com/innovation/guardian-of-drone-chinese-scientists-create-new-invisibility-cloak ‘Guardian of drone’: Chinese scientists create new invisibility cloak \| Jijo Malayil - Interesting Engineering] ... Advancement lies in controlling metasurfaces to shape scattering fields across space and frequency using spatiotemporal modulation.		* [https://interestingengineering.com/innovation/guardian-of-drone-chinese-scientists-create-new-invisibility-cloak ‘Guardian of drone’: Chinese scientists create new invisibility cloak \| Jijo Malayil - Interesting Engineering] ... Advancement lies in controlling metasurfaces to shape scattering fields across space and frequency using spatiotemporal modulation.
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 <youtube>AOYxlj5iuvo</youtube>
 <youtube>FJb2MRnGbNY</youtube>
 = Python =

← Older revision		Revision as of 22:21, 20 April 2024
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	* [https://arstechnica.com/information-technology/2023/08/high-speed-ai-drone-beats-world-champion-racers-for-the-first-time/ High-speed AI drone beats world-champion racers for the first time \| Benj Edwards - ARS Tecnnica] ... University of Zürich creates the first autonomous system capable of beating humans at drone racing.		* [https://arstechnica.com/information-technology/2023/08/high-speed-ai-drone-beats-world-champion-racers-for-the-first-time/ High-speed AI drone beats world-champion racers for the first time \| Benj Edwards - ARS Tecnnica] ... University of Zürich creates the first autonomous system capable of beating humans at drone racing.
	* [https://interestingengineering.com/innovation/guardian-of-drone-chinese-scientists-create-new-invisibility-cloak ‘Guardian of drone’: Chinese scientists create new invisibility cloak \| Jijo Malayil - Interesting Engineering] ... Advancement lies in controlling metasurfaces to shape scattering fields across space and frequency using spatiotemporal modulation.		* [https://interestingengineering.com/innovation/guardian-of-drone-chinese-scientists-create-new-invisibility-cloak ‘Guardian of drone’: Chinese scientists create new invisibility cloak \| Jijo Malayil - Interesting Engineering] ... Advancement lies in controlling metasurfaces to shape scattering fields across space and frequency using spatiotemporal modulation.
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		+	<hr><center><b><i>
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		+	A drone is a type of unmanned aircraft or ship that can be remotely or autonomously guided. A UAV stands for Unmanned Aerial Vehicle, which is a broader category that includes all pilotless aircraft.
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		+	</i></b></center><hr>