62 citations · 168 across the 19 of their papers we have counts for
6 papers · 1 filter
One-Shot Neural Fields for 3D Object Understanding
Valts Blukis, Taeyeop Lee, Jonathan Tremblay +5
We present a unified and compact scene representation for robotics, where each object in the scene is depicted by a latent code capturing geometry and appearance. This representati…
RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control
Zhenggang Tang, Balakumar Sundaralingam, Jonathan Tremblay +6
We present a system for collision-free control of a robot manipulator that uses only RGB views of the world. Perceptual input of a tabletop scene is provided by multiple images of…
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
Yunzhi Lin, Thomas Müller, Jonathan Tremblay +5
We present a parallelized optimization method based on fast Neural Radiance Fields (NeRF) for estimating 6-DoF pose of a camera with respect to an object or scene. Given a single o…
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations
Junchi Liang, Bowen Wen, Kostas Bekris +1
This work aims to learn how to perform complex robot manipulation tasks that are composed of several, consecutively executed low-level sub-tasks, given as input a few visual demons…
Complex In-Hand Manipulation via Compliance-Enabled Finger Gaiting and Multi-Modal Planning
Andrew S. Morgan, Kaiyu Hang, Bowen Wen +2
Constraining contacts to remain fixed on an object during manipulation limits the potential workspace size, as motion is subject to the hand's kinematic topology. Finger gaiting is…
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Bowen Wen, Wenzhao Lian, Kostas Bekris +1
Promising results have been achieved recently in category-level manipulation that generalizes across object instances. Nevertheless, it often requires expensive real-world data col…