Hierarchical Policy Blending as Inference for Reactive Robot Control
Fuente:
arXiv
Saved in:
| Main Authors: | Hansel, Kay, Urain, Julen, Peters, Jan, Chalvatzaki, Georgia |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global Tensor Motion Planning
by: Le, An T., et al.
Published: (2024)
by: Le, An T., et al.
Published: (2024)
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
by: Urain, Julen, et al.
Published: (2024)
by: Urain, Julen, et al.
Published: (2024)
ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching
by: Funk, Niklas, et al.
Published: (2024)
by: Funk, Niklas, et al.
Published: (2024)
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference
by: Li, Jiayun, et al.
Published: (2025)
by: Li, Jiayun, et al.
Published: (2025)
Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation
by: Funk, Niklas, et al.
Published: (2023)
by: Funk, Niklas, et al.
Published: (2023)
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
by: Carvalho, Joao, et al.
Published: (2024)
by: Carvalho, Joao, et al.
Published: (2024)
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
by: Krohn, Rickmer, et al.
Published: (2025)
by: Krohn, Rickmer, et al.
Published: (2025)
Learning Multimodal Latent Dynamics for Human-Robot Interaction
by: Prasad, Vignesh, et al.
Published: (2023)
by: Prasad, Vignesh, et al.
Published: (2023)
MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
by: Prasad, Vignesh, et al.
Published: (2024)
by: Prasad, Vignesh, et al.
Published: (2024)
Domain Randomization via Entropy Maximization
by: Tiboni, Gabriele, et al.
Published: (2023)
by: Tiboni, Gabriele, et al.
Published: (2023)
Semantic-Geometric Task Representations for Bimanual Manipulation from Human Demonstrations to Robot Action Planning
by: Herbert, Franziska, et al.
Published: (2026)
by: Herbert, Franziska, et al.
Published: (2026)
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering
by: Jauhri, Snehal, et al.
Published: (2023)
by: Jauhri, Snehal, et al.
Published: (2023)
The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation
by: Moyen, Sophia Bianchi, et al.
Published: (2025)
by: Moyen, Sophia Bianchi, et al.
Published: (2025)
Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers
by: Göksu, Yasemin, et al.
Published: (2024)
by: Göksu, Yasemin, et al.
Published: (2024)
Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation
by: Diwan, Anish Abhijit, et al.
Published: (2025)
by: Diwan, Anish Abhijit, et al.
Published: (2025)
PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations
by: Qian, Cheng, et al.
Published: (2024)
by: Qian, Cheng, et al.
Published: (2024)
Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations
by: Guzey, Irmak, et al.
Published: (2025)
by: Guzey, Irmak, et al.
Published: (2025)
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
by: Li, Zechu, et al.
Published: (2025)
by: Li, Zechu, et al.
Published: (2025)
UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene
by: Maurer, Christian, et al.
Published: (2025)
by: Maurer, Christian, et al.
Published: (2025)
2HandedAfforder: Learning Precise Actionable Bimanual Affordances from Human Videos
by: Heidinger, Marvin, et al.
Published: (2025)
by: Heidinger, Marvin, et al.
Published: (2025)
The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
by: Kaidanov, Oleg, et al.
Published: (2024)
by: Kaidanov, Oleg, et al.
Published: (2024)
FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control
by: Kim, Donghu, et al.
Published: (2026)
by: Kim, Donghu, et al.
Published: (2026)
Efficient Stochastic Optimal Control through Approximate Bayesian Input Inference
by: Watson, Joe, et al.
Published: (2021)
by: Watson, Joe, et al.
Published: (2021)
Fast and Robust Visuomotor Riemannian Flow Matching Policy
by: Ding, Haoran, et al.
Published: (2024)
by: Ding, Haoran, et al.
Published: (2024)
Context-Aware Deep Lagrangian Networks for Model Predictive Control
by: Schulze, Lucas, et al.
Published: (2025)
by: Schulze, Lucas, et al.
Published: (2025)
Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model
by: Fujii, Kentaro, et al.
Published: (2025)
by: Fujii, Kentaro, et al.
Published: (2025)
On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting
by: Funk, Niklas, et al.
Published: (2025)
by: Funk, Niklas, et al.
Published: (2025)
Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion
by: Bohlinger, Nico, et al.
Published: (2025)
by: Bohlinger, Nico, et al.
Published: (2025)
Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
by: Bohlinger, Nico, et al.
Published: (2025)
by: Bohlinger, Nico, et al.
Published: (2025)
Learning-based Cooperative Robotic Paper Wrapping: A Unified Control Policy with Residual Force Control
by: Ali, Rewida, et al.
Published: (2025)
by: Ali, Rewida, et al.
Published: (2025)
Learning and Blending Robot Hugging Behaviors in Time and Space
by: Drolet, Michael, et al.
Published: (2022)
by: Drolet, Michael, et al.
Published: (2022)
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
by: Jansonnie, Paul, et al.
Published: (2024)
by: Jansonnie, Paul, et al.
Published: (2024)
Task-Aware Bimanual Affordance Prediction via VLM-Guided Semantic-Geometric Reasoning
by: Hahne, Fabian, et al.
Published: (2026)
by: Hahne, Fabian, et al.
Published: (2026)
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
by: Bohlinger, Nico, et al.
Published: (2024)
by: Bohlinger, Nico, et al.
Published: (2024)
Reward Machine Inference for Robotic Manipulation
by: Baert, Mattijs, et al.
Published: (2024)
by: Baert, Mattijs, et al.
Published: (2024)
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)
by: Carvalho, Joao, et al.
Published: (2023)
Discrete Variational Autoencoding via Policy Search
by: Drolet, Michael, et al.
Published: (2025)
by: Drolet, Michael, et al.
Published: (2025)
From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
by: Peschl, Markus, et al.
Published: (2025)
by: Peschl, Markus, et al.
Published: (2025)
WARPD: World model Assisted Reactive Policy Diffusion
by: Hegde, Shashank, et al.
Published: (2024)
by: Hegde, Shashank, et al.
Published: (2024)
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
by: Wang, Yixiao, et al.
Published: (2024)
by: Wang, Yixiao, et al.
Published: (2024)
Similar Items
-
Global Tensor Motion Planning
by: Le, An T., et al.
Published: (2024) -
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
by: Urain, Julen, et al.
Published: (2024) -
ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching
by: Funk, Niklas, et al.
Published: (2024) -
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference
by: Li, Jiayun, et al.
Published: (2025) -
Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation
by: Funk, Niklas, et al.
Published: (2023)