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05/05/2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
We describe a system for deep reinforcement learning of robotic manipula...
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03/23/2023
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning
As robots become more prevalent, optimizing their design for better perf...
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02/03/2022
Practical Imitation Learning in the Real World via Task Consistency Loss
Recent work in visual end-to-end learning for robotics has shown the pro...
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01/15/2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
As learning-based approaches progress towards automating robot controlle...
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11/23/2020
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
General contact-rich manipulation problems are long-standing challenges ...
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11/06/2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
The success of deep reinforcement learning (RL) and imitation learning (...
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09/28/2019
Learning Fast Adaptation with Meta Strategy Optimization
The ability to walk in new scenarios is a key milestone on the path towa...
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06/21/2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Training a deep network policy for robot manipulation is notoriously cos...
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06/10/2019
Online Object Representations with Contrastive Learning
We propose a self-supervised approach for learning representations of ob...
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06/07/2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Imitation learning allows agents to learn complex behaviors from demonst...
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04/27/2018
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Designing agile locomotion for quadruped robots often requires extensive...
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10/17/2017
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Learning-based approaches to robotic manipulation are limited by the sca...
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09/22/2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Instrumenting and collecting annotated visual grasping datasets to train...
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08/24/2017