Cover Image

CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jun, Vorobeychik, Yevgeniy, Kantaros, Yiannis
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Conformal Temporal Logic Planning using Large Language Models
by: Wang, Jun, et al.
Published: (2023)

Conformal Reachability for Safe Control in Unknown Environments
by: Ma, Xinhang, et al.
Published: (2026)

Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction
by: Wang, Jun, et al.
Published: (2024)

ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees
by: Sundarsingh, David Smith, et al.
Published: (2025)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
by: Ma, Xinhang, et al.
Published: (2025)

Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
by: Wang, Jun, et al.
Published: (2023)

Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration
by: Kantaros, Yiannis, et al.
Published: (2024)

Online Feedback Efficient Active Target Discovery in Partially Observable Environments
by: Sarkar, Anindya, et al.
Published: (2025)

Verified Safe Reinforcement Learning for Neural Network Dynamic Models
by: Wu, Junlin, et al.
Published: (2024)

Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation
by: Kagaya, Tomoyuki, et al.
Published: (2025)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
by: Ravichandran, Zachary, et al.
Published: (2025)

Learning Linear Utility Functions From Pairwise Comparison Queries
by: Ge, Luise, et al.
Published: (2024)

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
by: Tian, Hanlin, et al.
Published: (2024)

KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data
by: Tang, Grace, et al.
Published: (2024)

Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
by: Choi, Gawon, et al.
Published: (2024)

Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
by: Feng, Yunhai, et al.
Published: (2025)

ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning
by: Kagaya, Tomoyuki, et al.
Published: (2025)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
by: Ye, Jianglong, et al.
Published: (2025)

Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
by: Wagenmaker, Andrew, et al.
Published: (2025)

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
by: Hong, Matthew M., et al.
Published: (2026)

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)

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

Conformalized Non-uniform Sampling Strategies for Accelerated Sampling-based Motion Planning
by: Natraj, Shubham, et al.
Published: (2025)

Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
by: Hu, Zichao, et al.
Published: (2024)

Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League Environments
by: Machado, Mateus G., et al.
Published: (2024)

EmbodiSwap for Zero-Shot Robot Imitation Learning
by: Dessalene, Eadom, et al.
Published: (2025)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
by: Kolomeytsev, Yury, et al.
Published: (2025)

Demonstration-Free Robotic Control via LLM Agents
by: Tsui, Brian Y., et al.
Published: (2026)

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
by: Rafailov, Rafael, et al.
Published: (2024)

NAMO-LLM: Efficient Navigation Among Movable Obstacles with Large Language Model Guidance
by: Zhang, Yuqing, et al.
Published: (2025)

Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
by: Cibula, Miroslav, et al.
Published: (2025)

Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning
by: Peng, Shaoming
Published: (2023)

Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
by: Maddukuri, Abhiram, et al.
Published: (2025)

Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model
by: Wang, Jin, et al.
Published: (2024)

Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
by: Anvar, Timur, et al.
Published: (2025)

Minimum-Violation Temporal Logic Planning for Heterogeneous Robots under Robot Skill Failures
by: Kalluraya, Samarth, et al.
Published: (2024)

Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration
by: Lagomarsino, Marta, et al.
Published: (2025)

EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly
by: Lai, Shih-Yu, et al.
Published: (2026)