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08/24/2023
BridgeData V2: A Dataset for Robot Learning at Scale
We introduce BridgeData V2, a large and diverse dataset of robotic manip...
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07/18/2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning
We study the problem of learning to perform multi-stage robotic manipula...
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06/30/2023
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Our goal is for robots to follow natural language instructions like "put...
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06/06/2023
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching
In the same way that the computer vision (CV) and natural language proce...
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11/11/2022
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks
Solving real-world sequential manipulation tasks requires robots to have...
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10/12/2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
The utilization of broad datasets has proven to be crucial for generaliz...
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05/17/2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space
General-purpose robots require diverse repertoires of behaviors to compl...
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06/26/2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
The learning efficiency and generalization ability of an intelligent age...
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08/10/2020
Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine
Search engine has become a fundamental component in various web and mobi...
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07/01/2020
Adaptive Procedural Task Generation for Hard-Exploration Problems
We introduce Adaptive Procedural Task Generation (APT-Gen), an approach ...
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06/07/2020
SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network
Learning-to-rank (LTR) is a set of supervised machine learning algorithm...
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10/29/2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
The fundamental challenge of planning for multi-step manipulation is to ...
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10/26/2019
KETO: Learning Keypoint Representations for Tool Manipulation
We aim to develop an algorithm for robots to manipulate novel objects as...
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03/09/2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Many robotic applications require the agent to perform long-horizon task...
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06/25/2018
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Tool manipulation is vital for facilitating robots to complete challengi...
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11/07/2017
Recurrent Autoregressive Networks for Online Multi-Object Tracking
The main challenge of online multi-object tracking is to reliably associ...
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10/17/2017
