Search Results for author:
Found 7 papers, 3 papers with code
A distributional view on multi objective policy optimization
Many real-world problems require trading off multiple competing objectives.
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
With RoboCat, we demonstrate the ability to generalise to new tasks and robots, both zero-shot as well as through adaptation using only 100-1000 examples for the target task.
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
We demonstrate in manipulation domains that the method can effectively cluster offline data into distinct, executable behaviours, while retaining the flexibility of a continuous latent variable model.
Learning rich touch representations through cross-modal self-supervision
The sense of touch is fundamental in several manipulation tasks, but rarely used in robot manipulation.
Self-Supervised Learning
Robotics
A Distributional View on Multi-Objective Policy Optimization
Many real-world problems require trading off multiple competing objectives.
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
Kinematic Structure Correspondences via Hypergraph Matching
In this paper, we present a novel framework for finding the kinematic structure correspondence between two objects in videos via hypergraph matching.
