In-Depth Analysis and Summary of Embodied AI in Robotics Deep Analysis and Summary Embodied AI refers to the integration of artificial intelligence technology with robotic hardware, enabling robots to perceive, learn, and execute tasks in physical environments. Research and applications in this field are rapidly developing, covering various areas from household service robots to industrial … Read more
On the evening of August 25, Beijing time, NVIDIA announced the launch of its Jetson AGX Thor robot chip module, specifically designed for robotics and autonomous driving computing platforms. This chip, referred to as the “robot brain,” will begin shipping next month, allowing customers to create robot prototypes with it. The new Jetson AGX Thor … Read more
[Image] Shanghai, Xi’an, and Wuhan are betting on silicon photonic chips. In the “post-Moore era,” silicon photonic chips break through the traditional chip bottleneck with the advantages of photonic transmission, becoming a key support in fields such as AI computing power and autonomous driving. The three cities of Shanghai, Xi’an, and Wuhan have made precise … Read more
Welcome to click the blue text aboveCheju Network, follow us.More authentic, more independent, more open 丨 www.autoju.com Introduction | Finally clarified what L2.99 level is all about This year, many media outlets reported on a new electric SUV from Chery New Energy. It was undergoing ice and snow testing in Northeast China at the time, … Read more
【Scan the QR code in the image or click the mini program below to join the community and access all materials】 The evolution of smart vehicles has rapidly shaped the automotive SoC chip industry, with automakers and component manufacturers gradually shifting their focus to the implementation capabilities of “smart cockpit + autonomous driving.” SoC chips … Read more
The “Strongest Brain” of Smart Cars: Explosion of In-Vehicle SoC Chips Edited By: ForceInstitute 【Introduction】2025 is set to be a pivotal year for the smart car industry. With the penetration rate of new energy vehicles exceeding 50%, the acceleration of autonomous driving, and AI large models entering the cabin, the importance of in-vehicle SoC chips … Read more
1. Environment Setup The gym is a toolkit for developing and comparing reinforcement learning algorithms, and installing the gym library and its sub-environments in Python is quite straightforward. Install gym: pip install gym Install the autonomous driving module, using the highway-env package published by Edouard Leurent on GitHub (link: https://github.com/eleurent/highway-env): pip install –user git+https://github.com/eleurent/highway-env This … Read more
(By Guilherme Marshall, Director of Automotive Business for Arm in Europe, the Middle East, and Africa) Close your eyes and imagine you are getting into a car to go to work. The temperature and cabin settings have already been adjusted to your preferences. Once inside, the car, having learned your driving habits, proactively asks if … Read more
The main research directions of Taicheng Follow Robots include wireless technology spatial perception, real-time positioning systems, motion control algorithms, SLAM path decision-making, RKT technology, and multi-sensor fusion artificial intelligence technology, with over 30 core technology patents. The focus is on the research, production, and sales of follow robots and industry application solutions, achieving low-speed autonomous … Read more
Click the blue text above to follow us Friends, fasten your seatbelts! Today, we won’t discuss gossip, but rather dive into the hardcore and thrilling ultimate showdown of Advanced Driver Assistance System (ADAS) sensors. The three main characters: Camera, LiDAR, and Radar are battling fiercely in the autonomous driving arena. Who is the king? Who … Read more