Robotic Simulator: Creating Different Climates with the Impact of Them (16/27)

Robotic Simulator: Creating Different Climates with the Impact of Them (16/27)

In the previous lesson, we were able to successfully simulate a complex function called removing/placing an object for our robot. In this lesson, we want to simulate a variety of weather conditions and day and night for our environment using lighting and various skyboxes and to our scene management system. The corresponding lessons on building a robotic simulator in the Unity engine can be found at the link below (note that more lessons will be added gradually): https://www.mecharithm.com/category/a-robotic-simulator-on-unity/ Important: Robotic Simulator's Source Code and Sample Output: The source code for the entire tutorials (from 1 to 27) can be downloaded…
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Flying Microrobots for Pollination, Rescue, and Navigating Machinery

Flying Microrobots for Pollination, Rescue, and Navigating Machinery

Flying microrobots are diminutive drones developed by a group of researchers from MIT, Harvard, and the City University of Hong Kong. Image credit: MIT These microrobots are powered by soft actuators made of thin rubber cylinders coated in a carbon nanotube, producing an electrostatic force that squeezes and elongates the rubber cylinder when voltage is being applied. They recently proposed a new fabrication technique by removing air bubbles to produce low-voltage, power-dense artificial muscles that can improve the actuation of these microrobots. Image credit: MIT A swarm of these robots can have possible applications to pollinate a field of crops,…
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Drone Badminton to Improve Physical and Mental Health of the People with Low Vision

Drone Badminton to Improve Physical and Mental Health of the People with Low Vision

Digital Nature Group at the University of Tsukuba in Japan developed "Drone Badminton" that enables people with low vision to play badminton. The drone acts as the "ball," and when passing through a ring frame, the sensor at the frame detects this, and the drone's direction changes back to the opponent. Image credit: Digital Nature Group at the University of Tsukuba This project helps people with low vision regain their mental and physical well-being who otherwise are unable to see the size of the ball and could not react to the speed of the ball in the regular badminton game.…
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John Deere’s Fully Autonomous Tractor for Large-scale Production

John Deere’s Fully Autonomous Tractor for Large-scale Production

John Deere's new autonomous tractor is all the fast-growing population needs for large-scale production. The tractor can do the job autonomously while the farmer is doing other tasks, and they can monitor its status through an app on their mobile phone. Image credit: John Deere Key features: GPS guidance systemsix pairs of stereo cameras for 360-deg visual perceptionimages are processed through a deep neural network for obstacle detection This tractor will be available to all farmers in late 2022! Watch a short video of this below: More information: https://ces2022.deere.com/https://www.linkedin.com/company/john-deere/ Thanks for reading this post. You can access more categorized news…
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Human-robot Interaction at the Next Level with the Humanoid Robot, Ameca

Human-robot Interaction at the Next Level with the Humanoid Robot, Ameca

Ameca is a humanoid robot from Engineered Arts designed specifically as a platform for future advanced robotics technologies and can serve as a testbed for different Artificial Intelligence (AI) and Machine Learning (ML) systems. Image credit: Engineered Arts In the video below, they test Ameca's interaction with a human, and it is shown that the robot reacts when its "personal space" is violated. Key features: the human-like artificial body (AB) accompanies the human-like AIeye cameras take images, and the images are processed through tensor flowmodular design for future upgradesSoftware is the Tritium robot operating systemHardware is based on Mesmar technology…
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Robotic Simulator: Creating an Advanced UGV Robot in Unity with C# (15/27)

Robotic Simulator: Creating an Advanced UGV Robot in Unity with C# (15/27)

In the previous lesson, we learned how to use triggers and their associated programming. In this part, we will simulate and test much more complex actions for our robot, such as picking up or dropping an object off the ground. The corresponding lessons on building a robotic simulator in the Unity engine can be found at the link below (note that more lessons will be added gradually): https://www.mecharithm.com/category/a-robotic-simulator-on-unity/ Important: Robotic Simulator's Source Code and Sample Output: The source code for the entire tutorials (from 1 to 27) can be downloaded HERE! And a test output for Windows can be downloaded…
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a Navigation System for Multi-legged Robots for Different Terrain

a Navigation System for Multi-legged Robots for Different Terrain

Researchers at the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) Robotics Innovation Center, in partnership with the Italian Institute of Technology (IIT) and Airbus Defence and Space Ltd (ADS), developed ANT, which is a novel navigation and motion control system for multi-legged robots. Image credit: Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) This navigation system is designed to enable the multi-legged robots to perceive the terrain, generate a path to the desired location, and finally control the path execution to be able to walk on different kinds of terrains. The system is tested on hexapods (robots with six legs) as wells as…
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Robotic Simulator: Triggers (14/27)

Robotic Simulator: Triggers (14/27)

In the previous lesson, we simulated a simple ground robot with manual and automatic mobility methods. In this part, we are going to examine a practical and essential trick in Unity called triggers and learn their applications in scenario design for our simulator. The corresponding lessons on building a robotic simulator in the Unity engine can be found at the link below (note that more lessons will be added gradually): https://www.mecharithm.com/category/a-robotic-simulator-on-unity/ Important: Robotic Simulator's Source Code and Sample Output: The source code for the entire tutorials (from 1 to 27) can be downloaded HERE! And a test output for Windows…
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a Robotic Boat from MIT Sea Grant for Flipping over Oyster Bags

a Robotic Boat from MIT Sea Grant for Flipping over Oyster Bags

Researchers from MIT Sea Grant developed a robotic boat to help local oyster farmers do the current manual job of flipping the oyster bags using a robotic boat. The robot identifies the bags through a vision system and then flips them over repeating this on a regular basis. Image credit: MIT Sea Grant Image credit: MIT Sea Grant Image credit: MIT Sea Grant In oyster farms, there are bags filled with oysters that are afloat on water, and because of biofouling that covers the bags over time, they need to be flipped over to decrease the chances of getting dirt…
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Jueying X20: a Quadruped Robot from Deep Robotics

Jueying X20: a Quadruped Robot from Deep Robotics

Jueying X20 is a quadruped robot from Deep Robotics that is designed and built based on real-world user feedback and the applications they require. Image credit: Deep Robotics In the video below, they run running tests and load tests on the quadruped robot. Running test for the quadruped robot. Image credit: Deep Robotics Load test for the quadruped robot. Image credit: Deep Robotics Key points: the robot is designed and built based on user feedback and real-world applicationshas strong load capacity and scalabilitycharging is autonomousmaximum speed of 4.95 m/s4 hours average runtime with no loadcan walk on a wide variety…
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