BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling
cs.RO
Submitted: 2026-06-19
Updated: 2026-10-09
Code: https://github.com/TheRobotStudio/SO-ARM100
Terminology
Sources
- Stochastic Sampling from Deterministic Flow Models
- Riemannian Flow Matching Policy for Robot Motion Learning
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Stein Variational Model Predictive Control
- Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies
- Inference-Time Policy Steering through Human Interactions
- nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping
- LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
- A General Framework for Inference-time Scaling and Steering of Diffusion Models
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