TANDEM: Task and Motion Planning with As-Needed Demonstrations for Efficient Vision-Language-Action Model Fine-tuning
cs.RO
Submitted: 2026-09-23
Updated: 2026-09-23
Project page: https://prpl-group.com/tandem
Terminology
Sources
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- TiPToP: A Modular Open-Vocabulary Robot Manipulation System That Plans
- DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
- MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation
- Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware
- EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World
- PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
- Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation
- SkillWrapper: Generative Predicate Invention for Task-level Robot Planning
- From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning
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- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving