{"total":64,"rows":[{"id":"2210.05714","title":"Visual Language Maps for Robot Navigation","created":"2022-10-11","cited_by_count":365,"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":"2312.03275","title":"VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation","created":"2023-12-06","cited_by_count":205,"area":"mllm"},{"id":"2505.20279","title":"VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction","created":"2025-05-26","cited_by_count":166,"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":"2310.08588","title":"Octopus: Embodied Vision-Language Programmer from Environmental Feedback","created":"2023-10-12","cited_by_count":73,"area":"mllm"},{"id":"2402.10670","title":"OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models","created":"2024-02-16","cited_by_count":67,"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":"2501.02189","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","created":"2025-01-04","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":"2402.02651","title":"Vision-Language Models Provide Promptable Representations for Reinforcement Learning","created":"2024-02-05","cited_by_count":41,"area":"mllm"},{"id":"2504.02477","title":"Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision","created":"2025-04-03","cited_by_count":40,"area":"mllm"},{"id":"2301.12507","title":"Distilling Internet-Scale Vision-Language Models into Embodied Agents","created":"2023-01-29","cited_by_count":30,"area":"mllm"},{"id":"2506.01031","title":"NavBench: Probing Multimodal Large Language Models for Embodied Navigation","created":"2025-06-01","cited_by_count":24,"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":"2510.26909","title":"NaviTrace: Evaluating Embodied Navigation of Vision-Language Models","created":"2025-10-30","cited_by_count":13,"area":"mllm"},{"id":"2601.10744","title":"Explore with Long-term Memory: A Benchmark and Multimodal LLM-based Reinforcement Learning Framework for Embodied Exploration","created":"2026-01-11","cited_by_count":13,"area":"mllm"},{"id":"2506.15635","title":"FindingDory: A Benchmark to Evaluate Memory in Embodied Agents","created":"2025-06-18","cited_by_count":12,"area":"mllm"},{"id":"2310.07937","title":"Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models","created":"2023-10-11","cited_by_count":8,"area":"mllm"},{"id":"2310.08669","title":"Multimodal Large Language Model for Visual Navigation","created":"2023-10-12","cited_by_count":8,"area":"mllm"},{"id":"2506.02896","title":"FlySearch: Exploring how vision-language models explore","created":"2025-06-03","cited_by_count":7,"area":"mllm"},{"id":"2511.00933","title":"Fast-SmartWay: Panoramic-Free End-to-End Zero-Shot Vision-and-Language Navigation","created":"2025-11-02","cited_by_count":7,"area":"mllm"},{"id":"2412.04531","title":"MageBench: Bridging Large Multimodal Models to Agents","created":"2024-12-05","cited_by_count":6,"area":"mllm"},{"id":"2510.15963","title":"ESCA: Contextualizing Embodied Agents via Scene-Graph Generation","created":"2025-10-11","cited_by_count":6,"area":"mllm"},{"id":"2602.18424","title":"CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation","created":"2026-02-20","cited_by_count":6,"area":"mllm"},{"id":"2411.04006","title":"Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval","created":"2024-11-06","cited_by_count":5,"area":"mllm"},{"id":"2512.24851","title":"VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation agents","created":"2025-12-31","cited_by_count":5,"area":"mllm"},{"id":"2404.00318","title":"Cognitive Planning for Object Goal Navigation using Generative AI Models","created":"2024-03-30","cited_by_count":4,"area":"mllm"},{"id":"2410.00388","title":"Find Everything: A General Vision Language Model Approach to Multi-Object Search","created":"2024-10-01","cited_by_count":4,"area":"mllm"},{"id":"2512.20206","title":"TongSIM: A General Platform for Simulating Intelligent Machines","created":"2025-12-23","cited_by_count":4,"area":"mllm"},{"id":"2601.17383","title":"Physical Prompt Injection Attacks on Large Vision-Language Models","created":"2026-01-24","cited_by_count":4,"area":"mllm"},{"id":"2604.26946","title":"Three-Step Nav: A Hierarchical Global-Local Planner for Zero-Shot Vision-and-Language Navigation","created":"2026-04-29","cited_by_count":4,"area":"mllm"},{"id":"2502.07306","title":"TRAVEL: Training-Free Retrieval and Alignment for Vision-and-Language Navigation","created":"2025-02-11","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":"2603.29437","title":"SeGPruner: Semantic-Geometric Visual Token Pruner for 3D Question Answering","created":"2026-03-31","cited_by_count":3,"area":"mllm"},{"id":"2606.31966","title":"MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environments","created":"2026-06-30","cited_by_count":3,"area":"mllm"},{"id":"2408.05802","title":"Egocentric Vision Language Planning","created":"2024-08-11","cited_by_count":2,"area":"mllm"},{"id":"2503.14161","title":"CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models","created":"2025-03-18","cited_by_count":2,"area":"mllm"},{"id":"2505.23266","title":"Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion","created":"2025-05-29","cited_by_count":2,"area":"mllm"},{"id":"2512.10310","title":"Efficient-VLN: A Simple yet Strong Baseline for Efficient Vision-Language Navigation","created":"2025-12-11","cited_by_count":2,"area":"mllm"},{"id":"2602.18884","title":"TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models","created":"2026-02-21","cited_by_count":2,"area":"mllm"},{"id":"2603.19466","title":"ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2604.13035","title":"SceneCritic: A Symbolic Evaluator for 3D Indoor Scene Synthesis","created":"2026-04-14","cited_by_count":2,"area":"mllm"},{"id":"2607.14543","title":"SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents","created":"2026-07-16","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":"2411.13211","title":"ViSTa Dataset: Do vision-language models understand sequential tasks?","created":"2024-11-20","cited_by_count":1,"area":"mllm"},{"id":"2505.20122","title":"MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models","created":"2025-05-26","cited_by_count":1,"area":"mllm"},{"id":"2603.06828","title":"Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models","created":"2026-03-06","cited_by_count":1,"area":"mllm"},{"id":"2603.20530","title":"Memory Over Maps: 3D Object Localization Without Reconstruction","created":"2026-03-20","cited_by_count":1,"area":"mllm"},{"id":"2603.24257","title":"Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning","created":"2026-03-25","cited_by_count":1,"area":"mllm"},{"id":"2605.01700","title":"TrajRAG: Retrieving Geometric-Semantic Experience for Zero-Shot Object Navigation","created":"2026-05-03","cited_by_count":1,"area":"mllm"},{"id":"2609.10895","title":"ReactHuman: A Physics-Grounded Benchmark for Human-Like Reactive Decision-Making in Embodied Multimodal LLMs","created":"2026-09-09","cited_by_count":1,"area":"mllm"},{"id":"2603.08475","title":"R2F: Repurposing Ray Frontiers for LLM-free Object Navigation","created":"2026-03-09","cited_by_count":0,"area":"mllm"},{"id":"2605.05340","title":"How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study","created":"2026-05-06","cited_by_count":0,"area":"mllm"},{"id":"2605.18593","title":"Not What You Asked For: Typographic Attacks in Household Robot Manipulation","created":"2026-05-18","cited_by_count":0,"area":"mllm"},{"id":"2606.01788","title":"PlatonicNav: Unveiling Semantic Correspondence in Navigation with Platonic Topological Maps","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2607.14514","title":"VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological Memory","created":"2026-07-16","cited_by_count":0,"area":"mllm"},{"id":"2608.20975","title":"Belief Without Behavior: Measuring the Translation of Theory of Mind into Coordinated Social Action in Vision-Language Models","created":"2026-08-21","cited_by_count":0,"area":"mllm"},{"id":"2609.00845","title":"Towards Generalizable Visually Grounded Exploration of Household Devices","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2609.34759","title":"PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.37655","title":"Exemplar2VQA: A Scalable Exemplar-Driven Visual Question Answering Generation Framework via Multi-Agent Coding","created":"2026-09-29","cited_by_count":0,"area":"mllm"},{"id":"2610.05664","title":"StageVLN: Spatial and Trajectory Auxiliary Guidance for Efficient Vision-Language Navigation","created":"2026-10-05","cited_by_count":0,"area":"mllm"},{"id":"2610.14397","title":"RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work","created":"2026-10-09","cited_by_count":0,"area":"mllm"},{"id":"2610.18478","title":"MemoryVLN: From Ego-Aware Memory Representation to Cross-Context Memory Reuse in Vision-Language Navigation","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}