{"total":39,"rows":[{"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":"2502.21257","title":"RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete","created":"2025-02-28","cited_by_count":135,"area":"mllm"},{"id":"2501.18867","title":"UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent","created":"2025-01-31","cited_by_count":102,"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":"2401.04334","title":"Large Language Models for Robotics: Opportunities, Challenges, and Perspectives","created":"2024-01-09","cited_by_count":89,"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":"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":"2402.05741","title":"Real-World Robot Applications of Foundation Models: A Review","created":"2024-02-08","cited_by_count":61,"area":"mllm"},{"id":"2601.02456","title":"InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation","created":"2026-01-05","cited_by_count":50,"area":"mllm"},{"id":"2601.03309","title":"VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models","created":"2026-01-06","cited_by_count":39,"area":"mllm"},{"id":"2512.01989","title":"PAI-Bench: A Comprehensive Benchmark For Physical AI","created":"2025-12-01","cited_by_count":34,"area":"mllm"},{"id":"2512.00903","title":"SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead","created":"2025-11-30","cited_by_count":26,"area":"mllm"},{"id":"2506.19816","title":"CronusVLA: Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling","created":"2025-06-24","cited_by_count":25,"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":"2509.26642","title":"MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation","created":"2025-09-30","cited_by_count":23,"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":"2512.22615","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":"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":"2602.03973","title":"VLS: Steering Pretrained Robot Policies via Vision-Language Models","created":"2026-02-03","cited_by_count":15,"area":"mllm"},{"id":"2512.16793","title":"PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence","created":"2025-12-18","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":"2602.11124","title":"PhyCritic: Multimodal Critic Models for Physical AI","created":"2026-02-11","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":"2512.01946","title":"Guardian: Detecting Robotic Planning and Execution Errors with Vision-Language Models","created":"2025-12-01","cited_by_count":9,"area":"mllm"},{"id":"2506.08708","title":"PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly","created":"2025-06-10","cited_by_count":7,"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":"2605.20544","title":"The Yes-Man Syndrome: Benchmarking Abstention in Embodied Robotic Agents","created":"2026-05-19","cited_by_count":4,"area":"mllm"},{"id":"2503.15035","title":"GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback","created":"2025-03-19","cited_by_count":2,"area":"mllm"},{"id":"2603.18532","title":"Scaling Sim-to-Real VLA Reinforcement Learning with Generative 3D Worlds","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2604.20012","title":"EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training","created":"2026-04-21","cited_by_count":2,"area":"mllm"},{"id":"2605.17070","title":"EPIC-Bench: A Perception-Centric Benchmark for Fine-Grained Embodied Visual Grounding in Vision-Language Models","created":"2026-05-16","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":"2511.02239","title":"LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic Manipulation","created":"2025-11-04","cited_by_count":0,"area":"mllm"},{"id":"2606.26196","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","created":"2026-06-24","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":"2609.14973","title":"PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models","created":"2026-09-14","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}