Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...

Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

近日，由天津大学、山东大学、KTH、ETH、MIT等多所国内外知名院校和研究机构联合撰写的综述论文《Dexterous Manipulation Through Imitation Learning: A Survey》发布，首次对模仿学习（Imitation Learning, IL）在灵巧操作领域的进展进行了全景式梳理，涵盖2021年至2025年间的关键技术突破，为研究人员提供了深入的参考。该 ...

Imitation learning is a powerful concept in AI. A type of learning where behaviors are acquired by mimicking a person’s actions, it enables a system to perform a task by creating a “mapping” between ...

Ouster's ED X Nano camera mounts directly onto robotic wrists and end-of-arm tooling, where every millimeter matters.

Waymo is running 10,000 virtual vehicles through scenarios 24 hours a day and has logged more than 10 billion computer simulated miles. Now its learning environments will have a new tool to simulate ...

A team of researchers at the University of Tokyo managed to teach a dual-armed robot how to peel a banana without turning it to mush in the process. Teaching a robot to handle delicate objects and ...

The near-term feasibility of self-driving cars depends on the limits of current machine learning approaches. This article is about using reinforcement learning to solve path planning and driving ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Scientists at the University of California ...