Search Results for author:
Found 8 papers, 3 papers with code
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
We study the problem of robotic stacking with objects of complex geometry.
Ranked #2 on
Skill Generalization
on RGB-Stacking
Visual end-effector tracking using a 3D model-aided particle filter for humanoid robot platforms
This paper addresses recursive markerless estimation of a robot's end-effector using visual observations from its cameras.
Robotics
Markerless visual servoing on unknown objects for humanoid robot platforms
To precisely reach for an object with a humanoid robot, it is of central importance to have good knowledge of both end-effector, object pose and shape.
Robotics Systems and Control Computation
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
The ability to effectively reuse prior knowledge is a key requirement when building general and flexible Reinforcement Learning (RL) agents.
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
We demonstrate that appropriate placement of our parameter efficient adapters can significantly reduce the performance gap between frozen pretrained representations and full end-to-end fine-tuning without changes to the original representation and thus preserving original capabilities of the pretrained model.
$\pi2\text{vec}$: Policy Representations with Successor Features
This paper describes $\pi2\text{vec}$, a method for representing behaviors of black box policies as feature vectors.
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.
GATS: Gather-Attend-Scatter
As the AI community increasingly adopts large-scale models, it is crucial to develop general and flexible tools to integrate them.
