Sudeep Dasari

According to our database1, Sudeep Dasari authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.
CoRR, 2024

HRP: Human Affordances for Robotic Pre-Training.
CoRR, 2024

Octo: An Open-Source Generalist Robot Policy.
CoRR, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MyoDex: A Generalizable Prior for Dexterous Manipulation.
Proceedings of the International Conference on Machine Learning, 2023

Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Unbiased Look at Datasets for Visuo-Motor Pre-Training.
Proceedings of the Conference on Robot Learning, 2023

2021
RB2: Robotic Manipulation Benchmarking with a Twist.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Model-Based Visual Planning with Self-Supervised Functional Distances.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Transformers for One-Shot Visual Imitation.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
RoboNet: Large-Scale Multi-Robot Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.
CoRR, 2018

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018


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