A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics
cs.RO
Submitted: 2026-04-16
Updated: 2026-09-16
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Octo: An Open-Source Generalist Robot Policy
- Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
- R+X: Retrieval and Execution from Everyday Human Videos
- In-Context Learning Enables Robot Action Prediction in LLMs
- In-Context Imitation Learning via Next-Token Prediction
- RT-1: Robotics Transformer for Real-World Control at Scale
- EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning
- OpenVLA: An Open-Source Vision-Language-Action Model
- FAST: Efficient Action Tokenization for Vision-Language-Action Models
- ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
- SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation
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