Elwin Vissers’ Post

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/eaHxgMA9

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/esfAG5K5

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/ePiEd9MJ

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/dVWVvZRY

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/e88qj-bT

🗞 Electronic News! 🗞 When embarking on a journey, receiving warnings and instructions from your vehicle can significantly impact your experience. Imagine a scenario where your car alerts you, Warning, if you keep reading now, you may become nauseous on the winding stretch of road. In five minutes, we’ll be on the highway, and it will be easier. Such communication is crucial for ensuring a safe and comfortable ride. Optimizing communication between vehicle and driver as a function of the degree of automation is the objective of a research project conducted by Fraunhofer in collaboration with other companies. The researchers are combining sensors for monitoring the vehicle interior with language models to form what are known as vision language models. They are designed to increase the convenience and safety of cars in the future. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory

Stanford University researchers have developed an augmented motor that makes them at least 50% more efficient than standard electric motors. The increase in efficiency originates from using a new type of actuator, a device that uses energy to make things move. This new actuator works by harnessing the ability of springs to store energy when they are forced into an unnatural position, and to release the energy once they are allowed to restore their natural shape. For example, when the actuator is lowering something heavy, the springs can be engaged so that it stretches, taking some of the weight off the motor. The spring can then be locked in the stretched-out position, storing the energy that can be used to assist the motor in another task later on. I think this new development is very promising, as more efficient motors can allow robots and machines to travel further and operate for longer. Excited to see the application of this technology in a real-world setting! https://lnkd.in/gZ3aWsKa Video from Stanford researchers. #Robotics #Motor #Innovation

Humanoid robots will enter the market at a cost-capability of under $10/hour for their labor, on a trajectory to under $1/hour before 2035 and under $0.10/hour before 2045. The critical disruptive components of the new labor engine include: Sensors (cameras, tilt sensors, pressure sensors, microphones, accelerometers, etc.) to take in sensory data Computer hardware and software to process sensory data with powerful AI Actuators to move and interact with objects in the environment Batteries and power electronics to provide energy for hours of sensing, computing, and moving Each of these technologies has gotten dramatically cheaper and more powerful in recent years, setting the stage for the disruption of labor.

The automotive industry is racing toward a sustainable future, and automation is playing a key role. As we see advancements like the one highlighted in Tech Xplore's recent article, machine learning and robotics are streamlining car battery production, driving efficiency, precision, and innovation. But the question remains: Can automation fully unlock the potential for widespread EV adoption while maintaining sustainability and quality? #EV #MachineLearning #Innovation #FutureOfMobility https://lnkd.in/ef6ixtBD

TU Graz AI system accelerates electric vehicle powertrain development The evolution of electric vehicles (EVs) relies heavily on advancements in powertrain technology. However, developing these critical components is an intricate, time-consuming, and expensive process. Researchers at Graz University of Technology (TU Graz) have introduced a groundbreaking method that can dramatically shorten the electric vehicle powertrain development timeline. By leveraging artificial intelligence (AI) and advanced simulation models, their OPED (Optimisation of Electric Drives) software can enhance electric vehicle powertrain design in a fraction of the time traditionally required. https://lnkd.in/ecfJxk-F #ev #ai #electricdrives #electricvehicles