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04/18/2023
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
We address the important problem of generalizing robotic rearrangement t...
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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...
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11/03/2022
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning
Robots planning long-horizon behavior in complex environments must be ab...
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10/21/2022
Motion Policy Networks
Collision-free motion generation in unknown environments is a core build...
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09/22/2022
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Task planning can require defining myriad domain knowledge about the wor...
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07/06/2022
Deep Learning Approaches to Grasp Synthesis: A Review
Grasping is the process of picking an object by applying forces and torq...
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10/28/2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Machine learning has long since become a keystone technology, accelerati...
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09/24/2021
CLIPort: What and Where Pathways for Robotic Manipulation
How can we imbue robots with the ability to manipulate objects precisely...
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09/08/2021
SORNet: Spatial Object-Centric Representations for Sequential Manipulation
Sequential manipulation tasks require a robot to perceive the state of a...
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07/07/2021
LanguageRefer: Spatial-Language Model for 3D Visual Grounding
To realize robots that can understand human instructions and perform mea...
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04/01/2021
RGB-D Local Implicit Function for Depth Completion of Transparent Objects
Majority of the perception methods in robotics require depth information...
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08/20/2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Point cloud registration is a fundamental problem in 3D computer vision,...
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07/16/2020
Unseen Object Instance Segmentation for Robotic Environments
In order to function in unstructured environments, robots need the abili...
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12/03/2019
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
We present ALFRED (Action Learning From Realistic Environments and Direc...
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12/01/2019
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Current 6D object pose estimation methods usually require a 3D model for...
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04/18/2018
The Limits and Potentials of Deep Learning for Robotics
The application of deep learning in robotics leads to very specific prob...
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11/01/2017
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Estimating the 6D pose of known objects is important for robots to inter...
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02/10/2015
