{"total":22,"rows":[{"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":"2601.02456","title":"InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation","created":"2026-01-05","cited_by_count":50,"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":"2510.17801","title":"Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain","created":"2025-10-20","cited_by_count":25,"area":"mllm"},{"id":"2602.11832","title":"JEPA-VLA: Video Predictive Embedding is Needed for VLA Models","created":"2026-02-12","cited_by_count":24,"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":"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":"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":"2605.29074","title":"Embodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language Models","created":"2026-05-27","cited_by_count":4,"area":"mllm"},{"id":"2610.01939","title":"Fewer Tokens, Better Action: GPT-6 Astra Robot Agents with 14% Higher Success Rate but 65% Fewer Tokens","created":"2026-10-01","cited_by_count":4,"area":"mllm"},{"id":"2602.20566","title":"BFA++: Hierarchical Best-Feature-Aware Token Prune for Multi-View Vision Language Action Model","created":"2026-02-24","cited_by_count":3,"area":"mllm"},{"id":"2609.29389","title":"Robo-Harness K1: Harnessing Robot-Use Agents via Perception Augmentation","created":"2026-09-24","cited_by_count":3,"area":"mllm"},{"id":"2508.02629","title":"HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents","created":"2025-08-04","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":"2605.24890","title":"QuoVLA: Quotient Space for Vision-Language-Action Models","created":"2026-05-24","cited_by_count":2,"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":"2608.05042","title":"BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation","created":"2026-08-05","cited_by_count":1,"area":"mllm"},{"id":"2609.03276","title":"R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language Models","created":"2026-09-03","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":"2610.02161","title":"DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}