{"total":86,"rows":[{"id":"2506.01844","title":"SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics","created":"2025-06-02","cited_by_count":530,"area":"mllm"},{"id":"2406.10721","title":"RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics","created":"2024-06-15","cited_by_count":251,"area":"mllm"},{"id":"2502.09560","title":"EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents","created":"2025-02-13","cited_by_count":221,"area":"mllm"},{"id":"2502.05855","title":"DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control","created":"2025-02-09","cited_by_count":195,"area":"mllm"},{"id":"2406.13642","title":"SpatialBot: Precise Spatial Understanding with Vision Language Models","created":"2024-06-19","cited_by_count":152,"area":"mllm"},{"id":"2505.23705","title":"Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better","created":"2025-05-29","cited_by_count":146,"area":"mllm"},{"id":"2509.09372","title":"VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model","created":"2025-09-11","cited_by_count":145,"area":"mllm"},{"id":"2411.16537","title":"RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics","created":"2024-11-25","cited_by_count":136,"area":"mllm"},{"id":"2501.16664","title":"Improving Vision-Language-Action Model with Online Reinforcement Learning","created":"2025-01-28","cited_by_count":116,"area":"mllm"},{"id":"2411.04549","title":"Vision Language Models are In-Context Value Learners","created":"2024-11-07","cited_by_count":90,"area":"mllm"},{"id":"2412.14058","title":"What Matters in Building Vision-Language-Action Models for Generalist Robots","created":"2024-12-18","cited_by_count":89,"area":"mllm"},{"id":"2406.11815","title":"LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning","created":"2024-06-17","cited_by_count":87,"area":"mllm"},{"id":"2510.07077","title":"Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications","created":"2025-10-08","cited_by_count":84,"area":"mllm"},{"id":"2505.04769","title":"Vision-Language-Action (VLA) Models: Concepts, Progress, Applications and Challenges","created":"2025-05-07","cited_by_count":74,"area":"mllm"},{"id":"2508.21046","title":"CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification","created":"2025-08-28","cited_by_count":74,"area":"mllm"},{"id":"2406.20095","title":"LLaRA: Supercharging Robot Learning Data for Vision-Language Policy","created":"2024-06-28","cited_by_count":52,"area":"mllm"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2503.08548","title":"TLA: Tactile-Language-Action Model for Contact-Rich Manipulation","created":"2025-03-11","cited_by_count":47,"area":"mllm"},{"id":"2412.08442","title":"From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons","created":"2024-12-11","cited_by_count":42,"area":"mllm"},{"id":"2508.08706","title":"OmniVTLA: Vision-Tactile-Language-Action Models with Semantic-Aligned Tactile Sensing","created":"2025-08-12","cited_by_count":38,"area":"mllm"},{"id":"2406.07904","title":"Grounding Multimodal Large Language Models in Actions","created":"2024-06-12","cited_by_count":35,"area":"mllm"},{"id":"2510.25616","title":"Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization","created":"2025-10-29","cited_by_count":35,"area":"mllm"},{"id":"2509.06932","title":"LLaDA-VLA: Vision Language Diffusion Action Models","created":"2025-09-08","cited_by_count":30,"area":"mllm"},{"id":"2503.16365","title":"JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse","created":"2025-03-20","cited_by_count":28,"area":"mllm"},{"id":"2510.17111","title":"Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey","created":"2025-10-20","cited_by_count":26,"area":"mllm"},{"id":"2509.11417","title":"Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations","created":"2025-09-14","cited_by_count":25,"area":"mllm"},{"id":"2506.09930","title":"From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models","created":"2025-06-11","cited_by_count":23,"area":"mllm"},{"id":"2410.17856","title":"ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting","created":"2024-10-23","cited_by_count":20,"area":"mllm"},{"id":"2609.10522","title":"Show-Harness: Just a VLM Agent Can Play Robots","created":"2026-09-09","cited_by_count":20,"area":"mllm"},{"id":"2511.18810","title":"MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent","created":"2025-11-24","cited_by_count":18,"area":"mllm"},{"id":"2512.11218","title":"Seeing to Act, Prompting to Specify: A Bayesian Factorization of Vision Language Action Policy","created":"2025-12-12","cited_by_count":18,"area":"mllm"},{"id":"2512.22615","title":"Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone","created":"2025-12-27","cited_by_count":18,"area":"mllm"},{"id":"2602.15397","title":"ActionCodec: What Makes for Good Action Tokenizers","created":"2026-02-17","cited_by_count":18,"area":"mllm"},{"id":"2506.20966","title":"Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends","created":"2025-06-26","cited_by_count":17,"area":"mllm"},{"id":"2409.14066","title":"KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data","created":"2024-09-21","cited_by_count":15,"area":"mllm"},{"id":"2511.02776","title":"XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations","created":"2025-11-04","cited_by_count":15,"area":"mllm"},{"id":"2511.22697","title":"Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations","created":"2025-11-27","cited_by_count":15,"area":"mllm"},{"id":"2601.14133","title":"TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers","created":"2026-01-20","cited_by_count":14,"area":"mllm"},{"id":"2509.16072","title":"I-FailSense: Towards General Robotic Failure Detection with Vision-Language Models","created":"2025-09-19","cited_by_count":12,"area":"mllm"},{"id":"2510.09607","title":"VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation","created":"2025-10-10","cited_by_count":12,"area":"mllm"},{"id":"2510.25122","title":"NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies","created":"2025-10-29","cited_by_count":12,"area":"mllm"},{"id":"2602.18532","title":"VLANeXt: Recipes for Building Strong VLA Models","created":"2026-02-20","cited_by_count":12,"area":"mllm"},{"id":"2603.16065","title":"Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models","created":"2026-03-17","cited_by_count":11,"area":"mllm"},{"id":"2512.22519","title":"Clutter-Robust Vision-Language-Action Models through Object-Centric and Geometry Grounding","created":"2025-12-27","cited_by_count":10,"area":"mllm"},{"id":"2605.12369","title":"GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization","created":"2026-05-12","cited_by_count":10,"area":"mllm"},{"id":"2410.05191","title":"LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation","created":"2024-10-07","cited_by_count":9,"area":"mllm"},{"id":"2410.17422","title":"Multimodal LLM Guided Exploration and Active Mapping using Fisher Information","created":"2024-10-22","cited_by_count":9,"area":"mllm"},{"id":"2511.01210","title":"OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation","created":"2025-11-03","cited_by_count":9,"area":"mllm"},{"id":"2602.10109","title":"ST4VLA: Spatially Guided Training for Vision-Language-Action Models","created":"2026-02-10","cited_by_count":9,"area":"mllm"},{"id":"2603.04466","title":"Act-Observe-Rewrite: Multimodal Coding Agents as In-Context Policy Learners for Robot Manipulation","created":"2026-03-03","cited_by_count":9,"area":"mllm"},{"id":"2510.23763","title":"RoboOmni: Proactive Robot Manipulation in Omni-modal Context","created":"2025-10-27","cited_by_count":8,"area":"mllm"},{"id":"2605.28548","title":"GEM: Generative Supervision Helps Embodied Intelligence","created":"2026-05-27","cited_by_count":6,"area":"mllm"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2409.17727","title":"Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications","created":"2024-09-26","cited_by_count":5,"area":"mllm"},{"id":"2506.13679","title":"ROSA: Harnessing Robot States for Vision-Language and Action Alignment","created":"2025-06-16","cited_by_count":5,"area":"mllm"},{"id":"2508.16845","title":"NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows","created":"2025-08-23","cited_by_count":5,"area":"mllm"},{"id":"2602.18020","title":"UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models","created":"2026-02-20","cited_by_count":5,"area":"mllm"},{"id":"2606.12366","title":"APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies","created":"2026-06-10","cited_by_count":5,"area":"mllm"},{"id":"2502.01218","title":"Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents","created":"2025-02-03","cited_by_count":4,"area":"mllm"},{"id":"2509.02322","title":"OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds","created":"2025-09-02","cited_by_count":4,"area":"mllm"},{"id":"2409.14247","title":"Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models","created":"2024-09-21","cited_by_count":3,"area":"mllm"},{"id":"2505.20503","title":"Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review","created":"2025-05-26","cited_by_count":3,"area":"mllm"},{"id":"2506.23725","title":"PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?","created":"2025-06-30","cited_by_count":3,"area":"mllm"},{"id":"2503.10322","title":"Towards Fast, Memory-based and Data-Efficient Vision-Language Policy","created":"2025-03-13","cited_by_count":2,"area":"mllm"},{"id":"2508.03099","title":"Point2Act: Efficient 3D Distillation of Multimodal LLMs for Zero-Shot Context-Aware Grasping","created":"2025-08-05","cited_by_count":2,"area":"mllm"},{"id":"2606.27663","title":"Direct Action-Head Injection of A Grounded 3D Point Unlocks Spatial and Task Generalization","created":"2026-06-26","cited_by_count":2,"area":"mllm"},{"id":"2607.27180","title":"HumanCLAW: Can Vision-Language Models Act Through a Body?","created":"2026-07-29","cited_by_count":2,"area":"mllm"},{"id":"2609.06079","title":"LayerRoute: Action-Conditioned Mixture-of-Layers Routing for Vision-Language-Action Policies","created":"2026-09-05","cited_by_count":2,"area":"mllm"},{"id":"2609.18374","title":"Decoupling Vision, Language, and Action for Efficient Multi-Task Robot Policies","created":"2026-09-16","cited_by_count":2,"area":"mllm"},{"id":"2506.19498","title":"T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models","created":"2025-06-24","cited_by_count":1,"area":"mllm"},{"id":"2601.18733","title":"Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge","created":"2026-01-26","cited_by_count":1,"area":"mllm"},{"id":"2606.26095","title":"Learning Action Priors for Cross-embodiment Robot Manipulation","created":"2026-06-24","cited_by_count":1,"area":"mllm"},{"id":"2506.21627","title":"FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models","created":"2025-06-24","cited_by_count":0,"area":"mllm"},{"id":"2511.14499","title":"Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM","created":"2025-11-18","cited_by_count":0,"area":"mllm"},{"id":"2604.24182","title":"$M^2$-VLA: Boosting Vision-Language Models for Generalizable Manipulation via Layer Mixture and Meta-Skills","created":"2026-04-27","cited_by_count":0,"area":"mllm"},{"id":"2607.13597","title":"Semantic Anchoring for Robotic Action Representations","created":"2026-07-15","cited_by_count":0,"area":"mllm"},{"id":"2607.23909","title":"WorldDiT: A Unified Diffusion Architecture for World and Action Modeling","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2608.08904","title":"From Recovery to Drop-off: How Action Post-training Reduces a VLM's Late-Layer Depth Decodability","created":"2026-08-09","cited_by_count":0,"area":"mllm"},{"id":"2608.21247","title":"Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action Models","created":"2026-08-21","cited_by_count":0,"area":"mllm"},{"id":"2609.05583","title":"An overview of 3D Vision-Language Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2609.21022","title":"Catch Me If You Can: Real-Time Feedback Denoising for Responsive VLAs","created":"2026-09-17","cited_by_count":0,"area":"mllm"},{"id":"2609.26071","title":"StrataVLA: Hierarchical and Efficient 3D Geometric Grounding for Vision-Language-Action Models","created":"2026-08-03","cited_by_count":0,"area":"mllm"},{"id":"2609.38078","title":"MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2610.00854","title":"Are Frontier VLM Agents Ready to Be Robot Generalists? An Empirical Study with the Embodied Agent Arena","created":"2026-10-01","cited_by_count":0,"area":"mllm"},{"id":"2610.05273","title":"When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA","created":"2026-10-04","cited_by_count":0,"area":"mllm"},{"id":"2610.14039","title":"RAIN: Robotic Task Generalization with Region-Aware Interaction Networks","created":"2026-10-02","cited_by_count":0,"area":"mllm"}],"next_cursor":null}