A survey of imitation learning: Algorithms, recent developments, and challenges
M Zare, PM Kebria, A Khosravi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the development of robotics and artificial intelligence (AI) systems has been
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …
Voxposer: Composable 3d value maps for robotic manipulation with language models
Large language models (LLMs) are shown to possess a wealth of actionable knowledge that
can be extracted for robot manipulation in the form of reasoning and planning. Despite the …
can be extracted for robot manipulation in the form of reasoning and planning. Despite the …
Open x-embodiment: Robotic learning datasets and rt-x models
Large, high-capacity models trained on diverse datasets have shown remarkable successes
on efficiently tackling downstream applications. In domains from NLP to Computer Vision …
on efficiently tackling downstream applications. In domains from NLP to Computer Vision …
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
Large, high-capacity models trained on diverse datasets have shown remarkable successes
on efficiently tackling downstream applications. In domains from NLP to Computer Vision …
on efficiently tackling downstream applications. In domains from NLP to Computer Vision …
Foundation models in robotics: Applications, challenges, and the future
We survey applications of pretrained foundation models in robotics. Traditional deep
learning models in robotics are trained on small datasets tailored for specific tasks, which …
learning models in robotics are trained on small datasets tailored for specific tasks, which …
Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation
Imitation learning from human demonstrations has shown impressive performance in
robotics. However, most results focus on table-top manipulation, lacking the mobility and …
robotics. However, most results focus on table-top manipulation, lacking the mobility and …
Toward general-purpose robots via foundation models: A survey and meta-analysis
Building general-purpose robots that operate seamlessly in any environment, with any
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …
object, and utilizing various skills to complete diverse tasks has been a long-standing goal in …
Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators
Humans can teleoperate robots to accomplish complex manipulation tasks. Imitation
learning has emerged as a powerful framework that leverages human teleoperated …
learning has emerged as a powerful framework that leverages human teleoperated …
Open-television: Teleoperation with immersive active visual feedback
Teleoperation serves as a powerful method for collecting on-robot data essential for robot
learning from demonstrations. The intuitiveness and ease of use of the teleoperation system …
learning from demonstrations. The intuitiveness and ease of use of the teleoperation system …
Xskill: Cross embodiment skill discovery
Human demonstration videos are a widely available data source for robot learning and an
intuitive user interface for expressing desired behavior. However, directly extracting …
intuitive user interface for expressing desired behavior. However, directly extracting …