Cover Image

Reasoning Grasping via Multimodal Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Shiyu, Xu, Jinxuan, Lei, Yutian, Zhang, Liangjun
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RT-Grasp: Reasoning Tuning Robotic Grasping via Multi-modal Large Language Model
by: Xu, Jinxuan, et al.
Published: (2024)

RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
by: Chen, Liangliang, et al.
Published: (2024)

VIHE: Virtual In-Hand Eye Transformer for 3D Robotic Manipulation
by: Wang, Weiyao, et al.
Published: (2024)

VCoT-Grasp: Grasp Foundation Models with Visual Chain-of-Thought Reasoning for Language-driven Grasp Generation
by: Zhang, Haoran, et al.
Published: (2025)

ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers
by: Chen, Liangliang, et al.
Published: (2024)

ORACLE-Grasp: Zero-Shot Affordance-Aligned Robotic Grasping using Large Multimodal Models
by: Giuili, Avihai, et al.
Published: (2025)

Multi-Agent Consensus Seeking via Large Language Models
by: Chen, Huaben, et al.
Published: (2023)

FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models
by: Tang, Chao, et al.
Published: (2024)

Multimodal Large Language Models for Real-Time Situated Reasoning
by: Abbo, Giulio Antonio, et al.
Published: (2026)

ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model
by: Lei, Boshu, et al.
Published: (2025)

AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter
by: Tang, Yingbo, et al.
Published: (2025)

GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
by: Lee, Sungjae, et al.
Published: (2025)

Multimodal Adversarial Quality Policy for Safe Grasping
by: Xie, Kunlin, et al.
Published: (2026)

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models
by: Guo, Dingkun, et al.
Published: (2024)

HGDiffuser: Efficient Task-Oriented Grasp Generation via Human-Guided Grasp Diffusion Models
by: Huang, Dehao, et al.
Published: (2025)

ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition
by: Li, Samuel, et al.
Published: (2024)

Lan-grasp: Using Large Language Models for Semantic Object Grasping and Placement
by: Mirjalili, Reihaneh, et al.
Published: (2023)

GraspMolmo: Generalizable Task-Oriented Grasping via Large-Scale Synthetic Data Generation
by: Deshpande, Abhay, et al.
Published: (2025)

AssemLM: Spatial Reasoning Multimodal Large Language Models for Robotic Assembly
by: Jing, Zhi, et al.
Published: (2026)

VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models
by: Kulshrestha, Manav, et al.
Published: (2025)

OmniDexVLG: Learning Dexterous Grasp Generation from Vision Language Model-Guided Grasp Semantics, Taxonomy and Functional Affordance
by: Zhang, Lei, et al.
Published: (2025)

OmniDexGrasp: Generalizable Dexterous Grasping via Foundation Model and Force Feedback
by: Wei, Yi-Lin, et al.
Published: (2025)

Grasp as You Say: Language-guided Dexterous Grasp Generation
by: Wei, Yi-Lin, et al.
Published: (2024)

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
by: Wang, Wenbo, et al.
Published: (2024)

DexTOG: Learning Task-Oriented Dexterous Grasp with Language
by: Zhang, Jieyi, et al.
Published: (2025)

FineGrasp: Towards Robust Grasping for Delicate Objects
by: Du, Yun, et al.
Published: (2025)

LangGrasp: Leveraging Fine-Tuned LLMs for Language Interactive Robot Grasping with Ambiguous Instructions
by: Lin, Yunhan, et al.
Published: (2025)

GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language Instructions
by: Chu, Xiaomeng, et al.
Published: (2025)

Towards Open-World Grasping with Large Vision-Language Models
by: Tziafas, Georgios, et al.
Published: (2024)

GeoLanG: Geometry-Aware Language-Guided Grasping with Unified RGB-D Multimodal Learning
by: Tang, Rui, et al.
Published: (2026)

A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
by: Xu, Kechun, et al.
Published: (2023)

Automatic Robotic Development through Collaborative Framework by Large Language Models
by: Luan, Zhirong, et al.
Published: (2024)

GraspADMM: Improving Dexterous Grasp Synthesis via ADMM Optimization
by: Ruan, Liangwang, et al.
Published: (2026)

ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter
by: Qian, Yaoyao, et al.
Published: (2024)

Grasp as You Dream: Imitating Functional Grasping from Generated Human Demonstrations
by: Tang, Chao, et al.
Published: (2026)

GraspFactory: A Large Object-Centric Grasping Dataset
by: Srinivas, Srinidhi Kalgundi, et al.
Published: (2025)

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data
by: Deng, Shengliang, et al.
Published: (2025)

SegGrasp: Zero-Shot Task-Oriented Grasping via Semantic and Geometric Guided Segmentation
by: Li, Haosheng, et al.
Published: (2024)

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping
by: Bhat, Vineet, et al.
Published: (2025)

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System
by: Nguyen, Quang, et al.
Published: (2025)