A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of Embodied AI
Fuente:
arXiv
Guardado en:
| Autores principales: | Gao, Fang, Li, XueTao, Yu, Jun, Shaung, Feng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy
por: Li, Xuetao, et al.
Publicado: (2024)
por: Li, Xuetao, et al.
Publicado: (2024)
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
por: Tao, Stone, et al.
Publicado: (2024)
por: Tao, Stone, et al.
Publicado: (2024)
Sim-and-Human Co-training for Data-Efficient and Generalizable Robotic Manipulation
por: Fang, Kaipeng, et al.
Publicado: (2026)
por: Fang, Kaipeng, et al.
Publicado: (2026)
Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation
por: Li, Yuelei, et al.
Publicado: (2025)
por: Li, Yuelei, et al.
Publicado: (2025)
MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation
por: Zhao, Shengwei, et al.
Publicado: (2025)
por: Zhao, Shengwei, et al.
Publicado: (2025)
EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
por: Ju, Ruofei, et al.
Publicado: (2026)
por: Ju, Ruofei, et al.
Publicado: (2026)
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
por: Li, Jiachen, et al.
Publicado: (2023)
por: Li, Jiachen, et al.
Publicado: (2023)
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
por: Yang, Ningyuan, et al.
Publicado: (2025)
por: Yang, Ningyuan, et al.
Publicado: (2025)
PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
por: Yu, Simon, et al.
Publicado: (2025)
por: Yu, Simon, et al.
Publicado: (2025)
Fine-tuning with RAG for Improving LLM Learning of New Skills
por: Ibrahim, Humaid, et al.
Publicado: (2025)
por: Ibrahim, Humaid, et al.
Publicado: (2025)
Multi-agent Embodied AI: Advances and Future Directions
por: Feng, Zhaohan, et al.
Publicado: (2025)
por: Feng, Zhaohan, et al.
Publicado: (2025)
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
por: Roh, Yuji, et al.
Publicado: (2024)
por: Roh, Yuji, et al.
Publicado: (2024)
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
por: Yang, Xinyu, et al.
Publicado: (2024)
por: Yang, Xinyu, et al.
Publicado: (2024)
SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces
por: Xu, Rongchao, et al.
Publicado: (2026)
por: Xu, Rongchao, et al.
Publicado: (2026)
Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
por: Zhuang, Xiang, et al.
Publicado: (2026)
por: Zhuang, Xiang, et al.
Publicado: (2026)
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
por: Song, Haobo, et al.
Publicado: (2024)
por: Song, Haobo, et al.
Publicado: (2024)
Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
por: Pezzuti, Francesca, et al.
Publicado: (2025)
por: Pezzuti, Francesca, et al.
Publicado: (2025)
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
por: Wong, Lik Hang Kenny, et al.
Publicado: (2025)
por: Wong, Lik Hang Kenny, et al.
Publicado: (2025)
TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
por: Wang, Zihao, et al.
Publicado: (2025)
por: Wang, Zihao, et al.
Publicado: (2025)
How Foundational Skills Influence VLM-based Embodied Agents:A Native Perspective
por: Peng, Bo, et al.
Publicado: (2026)
por: Peng, Bo, et al.
Publicado: (2026)
SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation
por: Wang, Shengjie, et al.
Publicado: (2025)
por: Wang, Shengjie, et al.
Publicado: (2025)
Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model
por: Xu, Wenjiang, et al.
Publicado: (2025)
por: Xu, Wenjiang, et al.
Publicado: (2025)
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
por: Huang, Kai, et al.
Publicado: (2023)
por: Huang, Kai, et al.
Publicado: (2023)
A Progressive Training Strategy for Vision-Language Models to Counteract Spatio-Temporal Hallucinations in Embodied Reasoning
por: Yang, Xiaoda, et al.
Publicado: (2026)
por: Yang, Xiaoda, et al.
Publicado: (2026)
Efficient End-to-end Language Model Fine-tuning on Graphs
por: Xue, Rui, et al.
Publicado: (2023)
por: Xue, Rui, et al.
Publicado: (2023)
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
por: Gao, Chen, et al.
Publicado: (2024)
por: Gao, Chen, et al.
Publicado: (2024)
Don't Just Fine-tune the Agent, Tune the Environment
por: Lu, Siyuan, et al.
Publicado: (2025)
por: Lu, Siyuan, et al.
Publicado: (2025)
A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
por: Lawton, Neal Gregory, et al.
Publicado: (2025)
por: Lawton, Neal Gregory, et al.
Publicado: (2025)
Key-Gram: Extensible World Knowledge for Embodied Manipulation
por: Fan, Jingjing, et al.
Publicado: (2026)
por: Fan, Jingjing, et al.
Publicado: (2026)
Embodied AI: From LLMs to World Models
por: Feng, Tongtong, et al.
Publicado: (2025)
por: Feng, Tongtong, et al.
Publicado: (2025)
Pre-train and Fine-tune: Recommenders as Large Models
por: Jiang, Zhenhao, et al.
Publicado: (2025)
por: Jiang, Zhenhao, et al.
Publicado: (2025)
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
por: Yang, Yifan, et al.
Publicado: (2026)
por: Yang, Yifan, et al.
Publicado: (2026)
AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence
por: Zhang, Jiawei, et al.
Publicado: (2026)
por: Zhang, Jiawei, et al.
Publicado: (2026)
AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation
por: Singh, Anukriti, et al.
Publicado: (2025)
por: Singh, Anukriti, et al.
Publicado: (2025)
FLEX: A Framework for Learning Robot-Agnostic Force-based Skills Involving Sustained Contact Object Manipulation
por: Fang, Shijie, et al.
Publicado: (2025)
por: Fang, Shijie, et al.
Publicado: (2025)
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
por: Yuan, Yifu, et al.
Publicado: (2025)
por: Yuan, Yifu, et al.
Publicado: (2025)
Survey of Vision-Language-Action Models for Embodied Manipulation
por: Li, Haoran, et al.
Publicado: (2025)
por: Li, Haoran, et al.
Publicado: (2025)
Outlier-weighed Layerwise Sampling for LLM Fine-tuning
por: Li, Pengxiang, et al.
Publicado: (2024)
por: Li, Pengxiang, et al.
Publicado: (2024)
PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
por: Chopra, Mudit, et al.
Publicado: (2024)
por: Chopra, Mudit, et al.
Publicado: (2024)
Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
por: Wang, Yequan, et al.
Publicado: (2025)
por: Wang, Yequan, et al.
Publicado: (2025)
Ejemplares similares
-
Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy
por: Li, Xuetao, et al.
Publicado: (2024) -
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
por: Tao, Stone, et al.
Publicado: (2024) -
Sim-and-Human Co-training for Data-Efficient and Generalizable Robotic Manipulation
por: Fang, Kaipeng, et al.
Publicado: (2026) -
Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation
por: Li, Yuelei, et al.
Publicado: (2025) -
MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation
por: Zhao, Shengwei, et al.
Publicado: (2025)