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A review of robot learning for manipulation: Challenges, representations, and algorithms
A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …
interacting with the world around them to achieve their goals. The last decade has seen …
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
The last five years marked a surge in interest for and use of smart robots, which operate in
dynamic and unstructured environments and might interact with humans. We posit that well …
dynamic and unstructured environments and might interact with humans. We posit that well …
Rt-2: Vision-language-action models transfer web knowledge to robotic control
We study how vision-language models trained on Internet-scale data can be incorporated
directly into end-to-end robotic control to boost generalization and enable emergent …
directly into end-to-end robotic control to boost generalization and enable emergent …
[HTML][HTML] Rt-2: Vision-language-action models transfer web knowledge to robotic control
We study how vision-language models trained on Internet-scale data can be incorporated
directly into end-to-end robotic control to boost generalization and enable emergent …
directly into end-to-end robotic control to boost generalization and enable emergent …
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 …
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
Meta-reinforcement learning algorithms can enable robots to acquire new skills much more
quickly, by leveraging prior experience to learn how to learn. However, much of the current …
quickly, by leveraging prior experience to learn how to learn. However, much of the current …
Mimicgen: A data generation system for scalable robot learning using human demonstrations
Imitation learning from a large set of human demonstrations has proved to be an effective
paradigm for building capable robot agents. However, the demonstrations can be extremely …
paradigm for building capable robot agents. However, the demonstrations can be extremely …
Gapartnet: Cross-category domain-generalizable object perception and manipulation via generalizable and actionable parts
For years, researchers have been devoted to generalizable object perception and
manipulation, where cross-category generalizability is highly desired yet underexplored. In …
manipulation, where cross-category generalizability is highly desired yet underexplored. In …
On bringing robots home
Throughout history, we have successfully integrated various machines into our homes.
Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent …
Dishwashers, laundry machines, stand mixers, and robot vacuums are a few recent …
Sim-to-real transfer of robotic control with dynamics randomization
Simulations are attractive environments for training agents as they provide an abundant
source of data and alleviate certain safety concerns during the training process. But the …
source of data and alleviate certain safety concerns during the training process. But the …