Cover Image

UniLACT: Depth-Aware RGB Latent Action Learning for Vision-Language-Action Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Govind, Manish Kumar, Reilly, Dominick, Wang, Pu, Das, Srijan
Format:	Preprint
Published:	2026
Subjects:	Robotics Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models
by: Reilly, Dominick, et al.
Published: (2025)

From My View to Yours: Ego-to-Exo Transfer in VLMs for Understanding Activities of Daily Living
by: Reilly, Dominick, et al.
Published: (2025)

SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living
by: Sinha, Arkaprava, et al.
Published: (2025)

RotVLA: Rotational Latent Action for Vision-Language-Action Model
by: Li, Qiwei, et al.
Published: (2026)

CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos
by: Zhang, Chubin, et al.
Published: (2026)

Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model
by: Lin, Tao, et al.
Published: (2026)

LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living
by: Reilly, Dominick, et al.
Published: (2024)

Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks
by: Guruprasad, Pranav, et al.
Published: (2024)

ALAM: Algebraically Consistent Latent Action Model for Vision-Language-Action Models
by: Tang, Zuojin, et al.
Published: (2026)

From Pixels to Tokens: A Systematic Study of Latent Action Supervision for Vision-Language-Action Models
by: Lin, Yihan, et al.
Published: (2026)

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks
by: Zhang, Jiazhao, et al.
Published: (2024)

VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model
by: Sun, Jingwen, et al.
Published: (2026)

Unified Vision-Language-Action Model
by: Wang, Yuqi, et al.
Published: (2025)

Uni-LaViRA: Language-Vision-Robot Actions Translation for Unified Embodied Navigation
by: Ding, Hongyu, et al.
Published: (2026)

QDepth-VLA: Quantized Depth Prediction as Auxiliary Supervision for Vision-Language-Action Models
by: Li, Yixuan, et al.
Published: (2025)

Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads
by: Rahimian, Ali K., et al.
Published: (2024)

LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action Alignment
by: Nie, Dujun, et al.
Published: (2026)

GesVLA: Gesture-Aware Vision-Language-Action Model Embedded Representations
by: Guo, Wenxuan, et al.
Published: (2026)

LaMP: Learning Vision-Language-Action Policies with 3D Scene Flow as Latent Motion Prior
by: Wang, Xinkai, et al.
Published: (2026)

Action Draft and Verify: A Self-Verifying Framework for Vision-Language-Action Model
by: Zhao, Chen, et al.
Published: (2026)

GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models
by: Sarowar, Md Selim, et al.
Published: (2026)

TagaVLM: Topology-Aware Global Action Reasoning for Vision-Language Navigation
by: Liu, Jiaxing, et al.
Published: (2026)

OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
by: Huang, Huang, et al.
Published: (2025)

HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
by: Koo, Myungkyu, et al.
Published: (2025)

Act, Think or Abstain: Complexity-Aware Adaptive Inference for Vision-Language-Action Models
by: Izzo, Riccardo Andrea, et al.
Published: (2026)

DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
by: jia, Feiyang, et al.
Published: (2026)

PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction
by: Chen, Shizhe, et al.
Published: (2026)

F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
by: Lv, Qi, et al.
Published: (2025)

PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding
by: Song, Wenxuan, et al.
Published: (2025)

ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models
by: Ye, Wencheng, et al.
Published: (2025)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
by: Wang, Yating, et al.
Published: (2025)

SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning
by: Wang, Hanzhen, et al.
Published: (2025)

LLaDA-VLA: Vision Language Diffusion Action Models
by: Wen, Yuqing, et al.
Published: (2025)

BFA++: Hierarchical Best-Feature-Aware Token Prune for Multi-View Vision Language Action Model
by: Li, Haosheng, et al.
Published: (2026)

StreamingVLA: Streaming Vision-Language-Action Model with Action Flow Matching and Adaptive Early Observation
by: Shi, Yiran, et al.
Published: (2026)

QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
by: Ding, Pengxiang, et al.
Published: (2023)

See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation
by: Dai, Tingjun, et al.
Published: (2026)

Uncovering Linguistic Fragility in Vision-Language-Action Models via Diversity-Aware Red Teaming
by: Tong, Baoshun, et al.
Published: (2026)

FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
by: Liu, Yicheng, et al.
Published: (2025)

VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
by: Ye, Angen, et al.
Published: (2025)