Danny Drieß

Orcid: 0000-0002-8258-1659

According to our database1, Danny Drieß authored at least 41 papers between 2017 and 2024.

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Bibliography

2024
π<sub>0</sub>: A Vision-Language-Action Flow Model for General Robot Control.
CoRR, 2024

ALOHA Unleashed: A Simple Recipe for Robot Dexterity.
CoRR, 2024

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.
CoRR, 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly.
IEEE Trans. Robotics, February, 2023

Foundation Models in Robotics: Applications, Challenges, and the Future.
CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

Towards Generalist Biomedical AI.
CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control.
CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023



Large Language Models as General Pattern Machines.
Proceedings of the Conference on Robot Learning, 2023

2022
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input.
IEEE Robotics Autom. Lett., 2022

Reinforcement Learning with Neural Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

FC<sup>3</sup>: Feasibility-Based Control Chain Coordination.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.
Proceedings of the Conference on Robot Learning, 2022

2021
Learning to solve sequential physical reasoning problems from a scene image.
Int. J. Robotics Res., 2021

Learning Neural Implicit Functions as Object Representations for Robotic Manipulation.
CoRR, 2021

Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Structured deep generative models for sampling on constraint manifolds in sequential manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning.
IEEE Robotics Autom. Lett., 2020

Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.
Frontiers Robotics AI, 2020

Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics.
Frontiers Comput. Neurosci., 2020

Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.
Proceedings of the Robotics: Science and Systems XVI, 2020

Robust Task and Motion Planning for Long-Horizon Architectural Construction Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Adaptive Discretization for Evaluation of Probabilistic Cost Functions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Active Inverse Model Learning with Error and Reachable Set Estimates.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Active learning with query paths for tactile object shape exploration.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Constrained Bayesian optimization of combined interaction force/task space controllers for manipulations.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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