Allen Z. Ren

Orcid: 0000-0001-5306-2844

According to our database1, Allen Z. Ren authored at least 30 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
π<sub>0.7</sub>: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.
CoRR, April, 2026

MEM: Multi-Scale Embodied Memory for Vision Language Action Models.
CoRR, March, 2026

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.
ACM Comput. Surv., February, 2026

LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer.
CoRR, February, 2026

Perceive with confidence: Statistical safety assurances for navigation with learning-based perception.
Int. J. Robotics Res., 2026

2025
Training-Time Action Conditioning for Efficient Real-Time Chunking.
CoRR, December, 2025

π<sup>*</sup><sub>0.6</sub>: a VLA That Learns From Experience.
CoRR, November, 2025

Guiding Data Collection via Factored Scaling Curves.
CoRR, May, 2025

π<sub>0.5</sub>: a Vision-Language-Action Model with Open-World Generalization.
CoRR, April, 2025

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Diffusion Policy Policy Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Thinking Forward and Backward: Effective Backward Planning with Large Language Models.
CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR, 2024

Explore until Confident: Efficient Exploration for Embodied Question Answering.
Proceedings of the Robotics: Science and Systems XX, 2024


How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference.
CoRR, 2023

Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees.
Artif. Intell., 2023

FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.
Proceedings of the Conference on Robot Learning, 2023

AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer.
Proceedings of the Conference on Robot Learning, 2023

2022
Distributionally Robust Policy Learning via Adversarial Environment Generation.
IEEE Robotics Autom. Lett., 2022

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Leveraging Language for Accelerated Learning of Tool Manipulation.
Proceedings of the Conference on Robot Learning, 2022

2020
Generalization Guarantees for Multi-Modal Imitation Learning.
CoRR, 2020

Generalization Guarantees for Imitation Learning.
Proceedings of the 4th Conference on Robot Learning, 2020


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