Copertina

A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of Embodied AI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Fang, Li, XueTao, Yu, Jun, Shaung, Feng
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy
di: Li, Xuetao, et al.
Pubblicazione: (2024)

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
di: Tao, Stone, et al.
Pubblicazione: (2024)

Sim-and-Human Co-training for Data-Efficient and Generalizable Robotic Manipulation
di: Fang, Kaipeng, et al.
Pubblicazione: (2026)

Integrating LMM Planners and 3D Skill Policies for Generalizable Manipulation
di: Li, Yuelei, et al.
Pubblicazione: (2025)

MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation
di: Zhao, Shengwei, et al.
Pubblicazione: (2025)

EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents
di: Ju, Ruofei, et al.
Pubblicazione: (2026)

Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
di: Li, Jiachen, et al.
Pubblicazione: (2023)

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
di: Yang, Ningyuan, et al.
Pubblicazione: (2025)

PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
di: Yu, Simon, et al.
Pubblicazione: (2025)

Fine-tuning with RAG for Improving LLM Learning of New Skills
di: Ibrahim, Humaid, et al.
Pubblicazione: (2025)

Multi-agent Embodied AI: Advances and Future Directions
di: Feng, Zhaohan, et al.
Pubblicazione: (2025)

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
di: Roh, Yuji, et al.
Pubblicazione: (2024)

S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
di: Yang, Xinyu, et al.
Pubblicazione: (2024)

SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces
di: Xu, Rongchao, et al.
Pubblicazione: (2026)

Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
di: Zhuang, Xiang, et al.
Pubblicazione: (2026)

Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
di: Song, Haobo, et al.
Pubblicazione: (2024)

Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
di: Pezzuti, Francesca, et al.
Pubblicazione: (2025)

A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
di: Wong, Lik Hang Kenny, et al.
Pubblicazione: (2025)

TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
di: Wang, Zihao, et al.
Pubblicazione: (2025)

How Foundational Skills Influence VLM-based Embodied Agents:A Native Perspective
di: Peng, Bo, et al.
Pubblicazione: (2026)

SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation
di: Wang, Shengjie, et al.
Pubblicazione: (2025)

Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model
di: Xu, Wenjiang, et al.
Pubblicazione: (2025)

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
di: Huang, Kai, et al.
Pubblicazione: (2023)

A Progressive Training Strategy for Vision-Language Models to Counteract Spatio-Temporal Hallucinations in Embodied Reasoning
di: Yang, Xiaoda, et al.
Pubblicazione: (2026)

Efficient End-to-end Language Model Fine-tuning on Graphs
di: Xue, Rui, et al.
Pubblicazione: (2023)

EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
di: Gao, Chen, et al.
Pubblicazione: (2024)

Don't Just Fine-tune the Agent, Tune the Environment
di: Lu, Siyuan, et al.
Pubblicazione: (2025)

A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
di: Lawton, Neal Gregory, et al.
Pubblicazione: (2025)

Key-Gram: Extensible World Knowledge for Embodied Manipulation
di: Fan, Jingjing, et al.
Pubblicazione: (2026)

Embodied AI: From LLMs to World Models
di: Feng, Tongtong, et al.
Pubblicazione: (2025)

Pre-train and Fine-tune: Recommenders as Large Models
di: Jiang, Zhenhao, et al.
Pubblicazione: (2025)

SkillOpt: Executive Strategy for Self-Evolving Agent Skills
di: Yang, Yifan, et al.
Pubblicazione: (2026)

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence
di: Zhang, Jiawei, et al.
Pubblicazione: (2026)

AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation
di: Singh, Anukriti, et al.
Pubblicazione: (2025)

FLEX: A Framework for Learning Robot-Agnostic Force-based Skills Involving Sustained Contact Object Manipulation
di: Fang, Shijie, et al.
Pubblicazione: (2025)

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
di: Yuan, Yifu, et al.
Pubblicazione: (2025)

Survey of Vision-Language-Action Models for Embodied Manipulation
di: Li, Haoran, et al.
Pubblicazione: (2025)

Outlier-weighed Layerwise Sampling for LLM Fine-tuning
di: Li, Pengxiang, et al.
Pubblicazione: (2024)

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
di: Chopra, Mudit, et al.
Pubblicazione: (2024)

Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
di: Wang, Yequan, et al.
Pubblicazione: (2025)