Explore synthetic data vs real data for robotics, including simulation, real-world datasets, and sim-to-real techniques for scalable robot training.
Explore how egocentric data collection supports robotics and embodied AI by capturing first-person vision, actions, and real-world human–object interactions.
Cutting-edge solutions like advanced driver assistance systems (ADAS) are designed to make driving safer and easier. These systems rely on sensors like cameras, radar, and...
Autonomous vehicles rely less on mechanical control and more on intelligent systems. They use computer vision and advanced sensors to collect data, analyze their surroundings,...
As robots take on more complex tasks, their design and intelligence keep improving to meet real-world needs. Thanks to artificial intelligence (AI), robotics engineering, and...
Scientific discoveries and innovations often go hand in hand with advancements in technology, especially when it comes to tools that help with making observations. One...
