Valts Blukis

According to our database1, Valts Blukis authored at least 26 papers between 2017 and 2024.

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Bibliography

2024
GRS: Generating Robotic Simulation Tasks from Real-World Images.
CoRR, 2024

3D-MVP: 3D Multiview Pretraining for Robotic Manipulation.
CoRR, 2024

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.
CoRR, 2024

RVT-2: Learning Precise Manipulation from Few Demonstrations.
CoRR, 2024

Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces.
CoRR, 2024

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.
Proceedings of the International Conference on 3D Vision, 2024

2023
ProgPrompt: program generation for situated robot task planning using large language models.
Auton. Robots, December, 2023

CuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.
CoRR, 2023

Diff-DOPE: Differentiable Deep Object Pose Estimation.
CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.
CoRR, 2023

CuRobo: Parallelized Collision-Free Robot Motion Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RVT: Robotic View Transformer for 3D Object Manipulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Neural Fields for Robotic Object Manipulation from a Single Image.
CoRR, 2022

Correcting Robot Plans with Natural Language Feedback.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021
Generalizable Learning for Natural Language Instruction Following on Physical Robots.
PhD thesis, 2021

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning.
Proceedings of the Robotics: Science and Systems XIV, 2018

Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Socially competent navigation planning by deep learning of multi-agent path topologies.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


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