Droid: A large-scale in-the-wild robot manipulation dataset
A Khazatsky, K Pertsch, S Nair, A Balakrishna… - arXiv preprint arXiv …, 2024 - arxiv.org
The creation of large, diverse, high-quality robot manipulation datasets is an important
stepping stone on the path toward more capable and robust robotic manipulation policies …
stepping stone on the path toward more capable and robust robotic manipulation policies …
Polybot: Training one policy across robots while embracing variability
Reusing large datasets is crucial to scale vision-based robotic manipulators to everyday
scenarios due to the high cost of collecting robotic datasets. However, robotic platforms …
scenarios due to the high cost of collecting robotic datasets. However, robotic platforms …
Octo: An open-source generalist robot policy
Large policies pretrained on diverse robot datasets have the potential to transform robotic
learning: instead of training new policies from scratch, such generalist robot policies may be …
learning: instead of training new policies from scratch, such generalist robot policies may be …
OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation
Open-sourced, user-friendly tools form the bedrock of scientific advancement across
disciplines. The widespread adoption of data-driven learning has led to remarkable …
disciplines. The widespread adoption of data-driven learning has led to remarkable …
Demonstrating mobile manipulation in the wild: A metrics-driven approach
We present our general-purpose mobile manipulation system consisting of a custom robot
platform and key algorithms spanning perception and planning. To extensively test the …
platform and key algorithms spanning perception and planning. To extensively test the …
Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking
The grand aim of having a single robot that can manipulate arbitrary objects in diverse
settings is at odds with the paucity of robotics datasets. Acquiring and growing such datasets …
settings is at odds with the paucity of robotics datasets. Acquiring and growing such datasets …
Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity
Large, richly annotated datasets have accelerated progress in fields such as computer
vision and natural language processing, but replicating these successes in robotics has …
vision and natural language processing, but replicating these successes in robotics has …
What matters in learning from offline human demonstrations for robot manipulation
Imitating human demonstrations is a promising approach to endow robots with various
manipulation capabilities. While recent advances have been made in imitation learning and …
manipulation capabilities. While recent advances have been made in imitation learning and …
Bridgedata v2: A dataset for robot learning at scale
We introduce BridgeData V2, a large and diverse dataset of robotic manipulation behaviors
designed to facilitate research in scalable robot learning. BridgeData V2 contains 53,896 …
designed to facilitate research in scalable robot learning. BridgeData V2 contains 53,896 …
Maniskill: Generalizable manipulation skill benchmark with large-scale demonstrations
Object manipulation from 3D visual inputs poses many challenges on building generalizable
perception and policy models. However, 3D assets in existing benchmarks mostly lack the …
perception and policy models. However, 3D assets in existing benchmarks mostly lack the …