Cover Image

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lian, Shijie, Yu, Bin, Lin, Xiaopeng, Shen, Zhaolong, Yang, Laurence Tianruo, Jin, Yurun, Liu, Haishan, Wu, Changti, Yuan, Hang, Huang, Cong, Chen, Kai
Format:	Preprint
Published:	2026
Subjects:	Robotics Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks
by: Lian, Shijie, et al.
Published: (2025)

DynaSolidGeo: A Dynamic Benchmark for Genuine Spatial Mathematical Reasoning of VLMs in Solid Geometry
by: Wu, Changti, et al.
Published: (2025)

FrameSkip: Learning from Fewer but More Informative Frames in VLA Training
by: Yu, Bin, et al.
Published: (2026)

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
by: Yu, Bin, et al.
Published: (2026)

PhysBrain 1.0 Technical Report
by: Lian, Shijie, et al.
Published: (2026)

3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models
by: Yu, Bin, et al.
Published: (2026)

ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning
by: Wu, Changti, et al.
Published: (2026)

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
by: Lian, Shijie, et al.
Published: (2024)

PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence
by: Lin, Xiaopeng, et al.
Published: (2025)

IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)

Detecting Conversational Mental Manipulation with Intent-Aware Prompting
by: Ma, Jiayuan, et al.
Published: (2024)

Reading with Intent -- Neutralizing Intent
by: Reichman, Benjamin, et al.
Published: (2025)

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning
by: Zhang, Liang, et al.
Published: (2025)

TUGS: Physics-based Compact Representation of Underwater Scenes by Tensorized Gaussian
by: Lian, Shijie, et al.
Published: (2025)

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
by: Liu, Junhua, et al.
Published: (2024)

Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
by: Hengst, Floris den, et al.
Published: (2024)

TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model
by: Yu, Bin, et al.
Published: (2025)

IntentGPT: Few-shot Intent Discovery with Large Language Models
by: Rodriguez, Juan A., et al.
Published: (2024)

Tracking with Human-Intent Reasoning
by: Zhu, Jiawen, et al.
Published: (2023)

AnyUser: Translating Sketched User Intent into Domestic Robots
by: Yang, Songyuan, et al.
Published: (2026)

IntentFlow: Investigating Fluid Dynamics of Intent Communication in Generative AI
by: Kim, Yoonsu, et al.
Published: (2025)

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
by: Zhuang, Jun, et al.
Published: (2025)

Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints
by: Contreras, Cesar Alan, et al.
Published: (2025)

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
by: Petukhova, Kseniia, et al.
Published: (2025)

Mirror Skin: In Situ Visualization of Robot Touch Intent on Robotic Skin
by: Wagmann, David, et al.
Published: (2025)

Intent-Driven UAM Rescheduling
by: Kim, Jeongseok, et al.
Published: (2025)

Known Intents, New Combinations: Clause-Factorized Decoding for Compositional Multi-Intent Detection
by: Nandy, Abhilash
Published: (2026)

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
by: Chen, Yi, et al.
Published: (2026)

Distill: Uncovering the True Intent behind Human-Robot Communication
by: Li, Ting, et al.
Published: (2026)

Confidence-based Intent Prediction for Teleoperation in Bimanual Robotic Suturing
by: Hu, Zhaoyang Jacopo, et al.
Published: (2025)

IntentGrasp: A Comprehensive Benchmark for Intent Understanding
by: Yin, Yuwei, et al.
Published: (2026)

Intent Detection in the Age of LLMs
by: Arora, Gaurav, et al.
Published: (2024)

IntentContinuum: Using LLMs to Support Intent-Based Computing Across the Compute Continuum
by: Akbari, Negin, et al.
Published: (2025)

Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens
by: Shi, Xinyu, et al.
Published: (2025)

VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
by: Zhang, Shiduo, et al.
Published: (2024)

An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
by: Sakib, Md Nazmus
Published: (2025)

Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset
by: Liu, Rui, et al.
Published: (2024)

U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents
by: Su, Jin, et al.
Published: (2026)

BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
by: Choi, Yoonseo, et al.
Published: (2025)

An Analysis of Intent-Based Markets
by: Chitra, Tarun, et al.
Published: (2024)