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ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos

Jan 1, 1010

Vision Language Models are In-Context Value Learners

Jan 1, 1010

The Value of Sensory Information to a Robot

Jan 1, 1010

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments

Jan 1, 1010

Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems

Jan 1, 1010

Learning to Achieve Goals with Belief State Transformers

Jan 1, 1010

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Jan 1, 1010

Task-Oriented Hierarchical Object Decomposition for Visuomotor Control

Sep 2, 2020

Eurekaverse: Environment Curriculum Generation via Large Language Models

Sep 1, 1010

Recasting Generic Pretrained Vision Transformers As Object-Centric Scene Encoders For Manipulation Policies

Jan 25, 25250

Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models

Jan 24, 24240

ZeroFlow: Fast Zero Label Scene Flow via Distillation

Jan 1, 1010

Universal Visual Decomposer: Long-Horizon Manipulation Made Easy

Jan 1, 1010

Training self-learning circuits for power-efficient solutions

Jan 1, 1010

Privileged Sensing Scaffolds Reinforcement Learning

Jan 1, 1010

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Jan 1, 1010

Memory-Consistent Neural Networks for Imitation Learning

Jan 1, 1010

Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport

Jan 1, 1010

Eureka: Human-Level Reward Design via Coding Large Language Models

Jan 1, 1010

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Jan 1, 1010

DrEureka: Language Model Guided Sim-To-Real Transfer

Jan 1, 1010

Can Transformers Capture Spatial Relations between Objects?

Jan 1, 1010

TLControl: Trajectory and Language Control for Human Motion Synthesis

Nov 28, 28280

Vision-Based Contact Localization Without Touch or Force Sensing

Nov 1, 1010

LIV: Language-Image Representations and Rewards for Robotic Control

Jul 1, 1010

VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training

Jan 1, 1010

Planning Goals for Exploration

Jan 1, 1010

Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

Jan 1, 1010

Learning a Meta-Controller for Dynamic Grasping

Jan 1, 1010

Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning

Sep 13, 13130