Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger
cs.RO
Submitted: 2025-12-04
Updated: 2026-09-20
Project page: https://hybriddiffusion.github.io
Terminology
Sources
- ALOHA Unleashed: A Simple Recipe for Robot Dexterity
- A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
- A Robotic Skill Learning System Built Upon Diffusion Policies and Foundation Models
- Real-Time Operator Takeover for Visuomotor Diffusion Policy Training
- Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation
- BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
- OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
- TWIST: Teleoperated Whole-Body Imitation System
- Gesture First, LLM-Assisted Voice Complement: Exploring Multimodal Robot 'Puppeteer' Teleoperation Via Virtual Counterpart in Augmented Reality
- S$^2$-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation
- DNAct: Diffusion Guided Multi-Task 3D Policy Learning
- What's the Move? Hybrid Imitation Learning via Salient Points
- HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
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