Mecharithm’s Blog

Top Robotics Companies: Interview with PRIME Robotics

Top Robotics Companies: Interview with PRIME Robotics

In this robotics podcast, Nate Aswege was hosted by Dr. Madi Babaiasl to talk about PRIME Robotics as one of the leading companies in providing warehouse robotic automation, the solutions they provide, their story and background, and tips for job seekers to join their company. Image credit: PRIME Robotics Watch the interview: Listen to only the audio here: 🙏 Huge thanks to Nate Aswege, Vice President, Sales, and Marketing, PRIME Robotics: https://www.linkedin.com/in/nathanaswege/https://primerobotics.com/ Read more about Warehouse Robotics: https://www.mecharithm.com/warehouse-robotic-automation-everything-you-need-to-know/ Thanks for reading this post. You can access more Mecharithm news and robotics podcasts at the link below: https://www.mecharithm.com/category/mecharithm-news/ If you enjoyed…
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Warehouse Robotic Automation: [EVERYTHING You Need to Know] + [INTERVIEW with PRIME Robotics]

Warehouse Robotic Automation: [EVERYTHING You Need to Know] + [INTERVIEW with PRIME Robotics]

[BONUS] Download the nice PDF version of the lesson HERE! These are warehouse robots: Warehouse robotics changed the way work used to be done in warehouses. The rise of the COVID-19 pandemic revealed the weaknesses of systems and processes that relied only on physical presence, leading to a surge in automation. The rise of the COVID-19 pandemic changed the way the processes were previously done. Robots and automated systems replaced the processes that used to be done manually or through face-to-face interaction. The processes that used to be done manually or through face-to-face interaction rapidly switch towards automated processes. Automated…
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Robotic Simulator: How to Create Different Levels for the Simulator (19/27)

Robotic Simulator: How to Create Different Levels for the Simulator (19/27)

In the previous lesson, we discussed how to build a complete scenario for our simulator. In this lesson, we will implement different steps and different scenarios for our simulator and design our so-called multi-step 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 can be downloaded HERE! You can easily get…
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How to Get Jobs in Robotics Companies

How to Get Jobs in Robotics Companies

Do you want to know how to land your dream job in robotics? Do you want to know how you can get a job in top-rated robotics companies? Do you know what qualifications you need to reach this goal? Dr. Sina Pourghodrat, one of the most wanted robotic engineers, is hosted by Dr. Madi Babaiasl to discuss these questions. Watch the discussion on Mecharithm's YouTube channel in early February: https://www.mecharithm.com/youtube 💎 Do you think you can be our next guest? Please email your request to support@mecharithm.com. Thanks for reading this post. You can access more Mecharithm news and robotics podcasts…
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Controlling a Robotic Arm with Brain

Controlling a Robotic Arm with Brain

Two research groups at EPFL (École polytechnique fédérale de Lausanne) supervised by Prof. Aude G. Billard, and Prof. José del R. Millán developed a machine learning (ML) algorithm that can learn from the patient's thoughts and enables to control a robot's movements based on electrical signals from the brain. Image credit: EPFL (École polytechnique fédérale de Lausanne) This research has potential applications to help tetraplegic patients who are unable to speak or perform any movement to independently perform activities of daily living (ADL). Key points: Patients move the robot with their thoughts, and no auditory or tactile feedback is needed.The…
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Robotic Simulator: How to Predefine a Scenario for the Robot (18/27)

Robotic Simulator: How to Predefine a Scenario for the Robot (18/27)

In the previous lesson, we learned how to save and load different data in the simulator. In this part, we are going to design a complete step with a multi-part scenario for our simulator and define a separate function for each piece. 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…
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Robotic Simulator: How to Save/Load the Values and Show Them as a Table (17/27)

Robotic Simulator: How to Save/Load the Values and Show Them as a Table (17/27)

In the previous part, we got acquainted with implementing different types of weather and day and night conditions in the simulator. In this lesson, we will learn how to save and load essential data in the simulator and its application in the main menu and other parts of the 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…
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a Bioinspired Advanced Neural Control for Autonomous Walking Robots

a Bioinspired Advanced Neural Control for Autonomous Walking Robots

Researchers from BRAIN-lab at VISTEC in Thailand developed a bioinspired advanced neural control with proactive behavior learning and short-term memory for autonomous walking robots that enables them to traverse complex terrain. Image credit: BRAIN-lab at VISTEC The proposed control consists of three main modular neural mechanisms to create insect-like gaits, adapt robot joint movement individually with respect to the terrain during the stance phase using only the torque feedback, and generate a short-term memory for proactive obstacle avoidance during the swing phase. Their proposed control: does not require robot and environmental models, exteroceptive feedback, or multiple learning trialsdepends only on…
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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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