What is Robot Learning? | NVIDIA Glossary
Robot learning is a collection of algorithms and methodologies that help a robot learn new skills such as manipulation, locomotion, and classification in either a simulated or real-world …
Robot learning - Wikipedia
Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning …
A Revolution in How Robots Learn - The New Yorker
2024年11月25日 · Robots are gaining a revolutionary power—the ability to teach themselves new skills. They have learned to play Ping-Pong, move boulders, and even tie shoelaces.
Robot Learning - SpringerLink
2019年12月18日 · Robot learning spans the problems of learning models, sensing, acting, as well as integrated approaches and has been applied to many types of robot embodiments. The …
CSCI 699: Robot Learning - USC Lira Lab
Robot learning is an interdisciplinary field at the intersection of robotics, machine learning, cognitive science, and control theory, aiming to create intelligent and adaptable robotic …
UC Berkeley Robot Learning Lab: Home
UC Berkeley's Robot Learning Lab, directed by Professor Pieter Abbeel, is a center for research in robotics and machine learning.
Robot Learning Lab
The Robot Learning Laboratory at the University of Washington works on foundational research in machine learning, artificial intelligence and robotics. Our goal is to develop intelligent robotic …
Robot Learning and Reasoning Lab (RL2) at Georgia Tech
We are the Robot Learning and Reasoning Lab (RL2). Our mission is to advance the frontiers of Robotics and AI. We build full-stack systems, from robots to machine learning algorithms. …
Robot Learning - Duke University - Boyuan Chen - General Robotics …
Students will read, present and discuss the latest research on robot learning which involve areas in robot perception, manipulation, navigation, motion and task planning, robot and sensor …
Robot Learning - IEEE Robotics and Automation Society - IEEE Robotics …
- learning models of robots, tasks or environments - learning deep hierarchies or levels of representations, from sensor and motor representations to task abstractions - learning of plans …