research
∙
06/26/2023
RVT: Robotic View Transformer for 3D Object Manipulation
For 3D object manipulation, methods that build an explicit 3D representa...
share
research
∙
03/29/2023
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Test-time adaptation methods have been gaining attention recently as a p...
research
∙
03/24/2023
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
We present a near real-time method for 6-DoF tracking of an unknown obje...
research
∙
10/21/2022
Neural Fields for Robotic Object Manipulation from a Single Image
We present a unified and compact representation for object rendering, 3D...
research
∙
09/22/2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Task planning can require defining myriad domain knowledge about the wor...
research
∙
04/11/2022
Correcting Robot Plans with Natural Language Feedback
When humans design cost or goal specifications for robots, they often pr...
research
∙
07/12/2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Natural language provides an accessible and expressive interface to spec...
research
∙
11/14/2020
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
We study the problem of learning a robot policy to follow natural langua...
research
∙
10/21/2019
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight
We propose a joint simulation and real-world learning framework for mapp...
research
∙
11/10/2018
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
We propose an approach for mapping natural language instructions and raw...
research
∙
09/04/2018
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
We propose to decompose instruction execution to goal prediction and act...
research
∙
05/31/2018