Danny Driess
21 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (23)
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(23)
π§
Keyword Pioneer
π₯
Mega-Team
(55)
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Keyword Champion
π
Century Club
(21)
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Prolific Year
(7)
ποΈ
Keyword Collector
(69)
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Unstoppable
(6)
Conferences
CORL (8)
ICML (4)
RSS (4)
NIPS (3)
AISTATS (1)
ICLR (1)
Top co-authors
Keywords
robot manipulation
(2)
vision-language-action model
(2)
robotic manipulation
(2)
reinforcement learning
(2)
neural radiance field
(2)
large language model
(2)
zero-shot learning
(1)
visual question answering
(1)
representation learning
(1)
scene understanding
(1)
path planning
(1)
in-context learning
(1)
text generation
(1)
multimodal learning
(1)
contrastive learning
(1)
motion transfer
(1)
object manipulation
(1)
flow matching
(1)
state representation
(1)
embodied ai
(1)
Papers
FAST: Efficient Action Tokenization for Vision-Language-Action Models
RSS 2025
$\pi_0.5$: a Vision-Language-Action Model with Open-World Generalization
CORL 2025
Training Strategies for Efficient Embodied Reasoning
CORL 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
Direct Motion Models for Assessing Generated Videos
ICML 2025
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
ICML 2025
Οβ: A Vision-Language-Action Flow Model for General Robot Control
RSS 2025
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
ALOHA Unleashed: A Simple Recipe for Robot Dexterity
CORL 2024
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers
RSS 2024
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CORL 2023
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
NIPS 2023
Large Language Models as General Pattern Machines
CORL 2023
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
CORL 2022
Reinforcement Learning with Neural Radiance Fields
NIPS 2022
Structured deep generative models for sampling on constraint manifolds in sequential manipulation
CORL 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
NIPS 2021
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
CORL 2021
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
RSS 2020
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020