research
∙
08/30/2023
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
For robots to be useful outside labs and specialized factories we need a...
share
research
∙
06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
research
∙
12/01/2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Complex sequential tasks in continuous-control settings often require ag...
research
∙
07/07/2021
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning
Inverse reinforcement learning is a paradigm motivated by the goal of le...
research
∙
10/18/2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Scaling model-based inverse reinforcement learning (IRL) to real robotic...
research
∙
08/18/2020
Residual Learning from Demonstration
Contacts and friction are inherent to nearly all robotic manipulation ta...
research
∙
11/29/2019
Learning with Modular Representations for Long-Term Multi-Agent Motion Predictions
Context plays a significant role in the generation of motion for dynamic...
research
∙
11/29/2019
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions
Context plays a significant role in the generation of motion for dynamic...
research
∙
07/15/2019
Vid2Param: Online system identification from video for robotics applications
Robots performing tasks in dynamic environments would benefit greatly fr...
research
∙
05/07/2019
