{"total":111,"rows":[{"id":"2303.03378","title":"PaLM-E: An Embodied Multimodal Language Model","created":"2023-03-06","cited_by_count":2071,"area":"mllm"},{"id":"2312.14150","title":"DriveLM: Driving with Graph Visual Question Answering","created":"2023-12-21","cited_by_count":536,"area":"mllm"},{"id":"2310.01412","title":"DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model","created":"2023-10-02","cited_by_count":461,"area":"mllm"},{"id":"2210.05714","title":"Visual Language Maps for Robot Navigation","created":"2022-10-11","cited_by_count":365,"area":"mllm"},{"id":"2311.12320","title":"A Survey on Multimodal Large Language Models for Autonomous Driving","created":"2023-11-21","cited_by_count":290,"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":"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":"2401.04334","title":"Large Language Models for Robotics: Opportunities, Challenges, and Perspectives","created":"2024-01-09","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":"2406.18915","title":"Manipulate-Anything: Automating Real-World Robots using Vision-Language Models","created":"2024-06-27","cited_by_count":83,"area":"mllm"},{"id":"2311.12015","title":"GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration","created":"2023-11-20","cited_by_count":77,"area":"mllm"},{"id":"2410.05273","title":"HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers","created":"2024-09-12","cited_by_count":75,"area":"mllm"},{"id":"2504.01901","title":"Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness","created":"2025-04-02","cited_by_count":63,"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":"2211.11736","title":"Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models","created":"2022-11-21","cited_by_count":58,"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":"2410.02193","title":"Guiding Long-Horizon Task and Motion Planning with Vision Language Models","created":"2024-10-03","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":"2402.04764","title":"Code as Reward: Empowering Reinforcement Learning with VLMs","created":"2024-02-07","cited_by_count":39,"area":"mllm"},{"id":"2410.08792","title":"VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model","created":"2024-10-11","cited_by_count":37,"area":"mllm"},{"id":"2309.05950","title":"Language Models as Black-Box Optimizers for Vision-Language Models","created":"2023-09-12","cited_by_count":36,"area":"mllm"},{"id":"2406.07904","title":"Grounding Multimodal Large Language Models in Actions","created":"2024-06-12","cited_by_count":35,"area":"mllm"},{"id":"2406.07549","title":"A3VLM: Actionable Articulation-Aware Vision Language Model","created":"2024-06-11","cited_by_count":33,"area":"mllm"},{"id":"2407.09829","title":"VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation","created":"2024-07-13","cited_by_count":33,"area":"mllm"},{"id":"2311.17518","title":"The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding","created":"2023-11-29","cited_by_count":29,"area":"mllm"},{"id":"2406.00645","title":"FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning","created":"2024-06-02","cited_by_count":26,"area":"mllm"},{"id":"2403.11289","title":"ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models","created":"2024-03-17","cited_by_count":25,"area":"mllm"},{"id":"2404.17672","title":"BlenderAlchemy: Editing 3D Graphics with Vision-Language Models","created":"2024-04-26","cited_by_count":22,"area":"mllm"},{"id":"2405.17418","title":"A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation","created":"2024-05-27","cited_by_count":21,"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":"2506.23329","title":"IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering","created":"2025-06-29","cited_by_count":19,"area":"mllm"},{"id":"2508.05294","title":"Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction","created":"2025-08-07","cited_by_count":19,"area":"mllm"},{"id":"2503.08481","title":"PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability","created":"2025-03-11","cited_by_count":18,"area":"mllm"},{"id":"2509.22653","title":"See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation","created":"2025-09-26","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":"2402.10340","title":"On the Vulnerability of LLM/VLM-Controlled Robotics","created":"2024-02-15","cited_by_count":15,"area":"mllm"},{"id":"2406.18722","title":"Towards Open-World Grasping with Large Vision-Language Models","created":"2024-06-26","cited_by_count":15,"area":"mllm"},{"id":"2406.19693","title":"MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?","created":"2024-06-28","cited_by_count":15,"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":"2508.19294","title":"Object Detection with Multimodal Large Vision-Language Models: An In-depth Review","created":"2025-08-25","cited_by_count":14,"area":"mllm"},{"id":"2402.16836","title":"PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models","created":"2024-02-26","cited_by_count":11,"area":"mllm"},{"id":"2402.14245","title":"Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models","created":"2024-02-22","cited_by_count":10,"area":"mllm"},{"id":"2510.12693","title":"ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning","created":"2025-10-14","cited_by_count":10,"area":"mllm"},{"id":"2411.08253","title":"Open-World Task and Motion Planning via Vision-Language Model Generated Constraints","created":"2024-11-13","cited_by_count":9,"area":"mllm"},{"id":"2506.19212","title":"Scaffolding Dexterous Manipulation with Vision-Language Models","created":"2025-06-24","cited_by_count":9,"area":"mllm"},{"id":"2511.00917","title":"Maestro: Orchestrating Robotics Modules with Vision-Language Models for Zero-Shot Generalist Robots","created":"2025-11-02","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":"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":"2410.20927","title":"VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions","created":"2024-10-28","cited_by_count":8,"area":"mllm"},{"id":"2409.17641","title":"Scene Exploration by Vision-Language Models","created":"2024-09-26","cited_by_count":6,"area":"mllm"},{"id":"2409.20551","title":"UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models","created":"2024-09-30","cited_by_count":6,"area":"mllm"},{"id":"2606.10577","title":"AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling Harness","created":"2026-06-09","cited_by_count":6,"area":"mllm"},{"id":"2401.14502","title":"MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models","created":"2024-01-25","cited_by_count":5,"area":"mllm"},{"id":"2501.04302","title":"H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving","created":"2025-01-08","cited_by_count":5,"area":"mllm"},{"id":"2501.17665","title":"Planning with Vision-Language Models and a Use Case in Robot-Assisted Teaching","created":"2025-01-29","cited_by_count":5,"area":"mllm"},{"id":"2503.10110","title":"IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models","created":"2025-03-13","cited_by_count":5,"area":"mllm"},{"id":"2503.10546","title":"KUDA: Keypoints to Unify Dynamics Learning and Visual Prompting for Open-Vocabulary Robotic Manipulation","created":"2025-03-13","cited_by_count":5,"area":"mllm"},{"id":"2608.16978","title":"VLCP: Vision Language Control Policy Closed-Loop Code Replanning for Robot Manipulation","created":"2026-08-17","cited_by_count":5,"area":"mllm"},{"id":"2410.11564","title":"PAVLM: Advancing Point Cloud based Affordance Understanding Via Vision-Language Model","created":"2024-10-15","cited_by_count":4,"area":"mllm"},{"id":"2410.15863","title":"Task-oriented Robotic Manipulation with Vision Language Models","created":"2024-10-21","cited_by_count":4,"area":"mllm"},{"id":"2412.15462","title":"TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models","created":"2024-12-19","cited_by_count":4,"area":"mllm"},{"id":"2504.05225","title":"Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation","created":"2025-04-07","cited_by_count":4,"area":"mllm"},{"id":"2507.23391","title":"Policy Learning from Large Vision-Language Model Feedback without Reward Modeling","created":"2025-07-31","cited_by_count":4,"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":"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":"2406.13787","title":"LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef Application","created":"2024-06-19","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":"2511.18929","title":"Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search","created":"2025-11-24","cited_by_count":3,"area":"mllm"},{"id":"2603.24018","title":"ELITE: Experiential Learning and Intent-Aware Transfer for Self-improving Embodied Agents","created":"2026-03-25","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":"2503.04280","title":"Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models","created":"2025-03-06","cited_by_count":2,"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":"2508.02629","title":"HyCodePolicy: Hybrid Language Controllers for Multimodal Monitoring and Decision in Embodied Agents","created":"2025-08-04","cited_by_count":2,"area":"mllm"},{"id":"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":"2512.04308","title":"ResponsibleRobotBench: Benchmarking Responsible Robot Manipulation using Multi-modal Large Language Models","created":"2025-12-03","cited_by_count":2,"area":"mllm"},{"id":"2607.18580","title":"STeP: Signal Temporal Logic for Precise Specifications for Action Generation with Vision Language Models","created":"2026-07-20","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":"2608.05715","title":"Hijacking Robots with a Piece of Paper: A Systematic Study of Physical Prompt Injection in VLM-Controlled Robots","created":"2026-08-06","cited_by_count":2,"area":"mllm"},{"id":"2506.14727","title":"Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models","created":"2025-06-17","cited_by_count":1,"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":"2512.17435","title":"ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination","created":"2025-12-19","cited_by_count":1,"area":"mllm"},{"id":"2512.20876","title":"Proprioception Enhances Vision Language Model in Generating Captions and Subtask Segmentations for Robot Task","created":"2025-12-24","cited_by_count":1,"area":"mllm"},{"id":"2602.14551","title":"Replanning Human-Robot Collaborative Tasks with Vision-Language Models via Semantic and Physical Dual-Correction","created":"2026-02-16","cited_by_count":1,"area":"mllm"},{"id":"2603.11563","title":"SVLL: Staged Vision-Language Learning for Physically Grounded Embodied Task Planning","created":"2026-03-12","cited_by_count":1,"area":"mllm"},{"id":"2603.15134","title":"Confusion-Aware In-Context-Learning for Vision-Language Models in Robotic Manipulation","created":"2026-03-16","cited_by_count":1,"area":"mllm"},{"id":"2310.04981","title":"Compositional Semantics for Open Vocabulary Spatio-semantic Representations","created":"2023-10-08","cited_by_count":0,"area":"mllm"},{"id":"2406.10157","title":"RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model","created":"2024-06-14","cited_by_count":0,"area":"mllm"},{"id":"2407.14229","title":"Words2Contact: Identifying Support Contacts from Verbal Instructions Using Foundation Models","created":"2024-07-19","cited_by_count":0,"area":"mllm"},{"id":"2503.06026","title":"Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models","created":"2025-03-08","cited_by_count":0,"area":"mllm"},{"id":"2503.13055","title":"Mitigating Cross-Modal Distraction and Ensuring Geometric Feasibility via Affordance-Guided and Self-Consistent MLLMs for Task Planning in Instruction-Following Manipulation","created":"2025-03-17","cited_by_count":0,"area":"mllm"},{"id":"2511.07410","title":"Using Language Models as Closed-Loop High-Level Planners for Robotics Applications: A Brief Overview and Benchmarks","created":"2025-11-10","cited_by_count":0,"area":"mllm"},{"id":"2511.18685","title":"Beyond Description: Cognitively Benchmarking Fine-Grained Action for Embodied Agents","created":"2025-11-24","cited_by_count":0,"area":"mllm"},{"id":"2601.11801","title":"RobotDesignGPT: Automated Robot Design Synthesis using Vision Language Models","created":"2026-01-16","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":"2605.26256","title":"Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions","created":"2026-05-25","cited_by_count":0,"area":"mllm"},{"id":"2606.22488","title":"SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments","created":"2026-06-21","cited_by_count":0,"area":"mllm"},{"id":"2608.06756","title":"Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence","created":"2026-08-07","cited_by_count":0,"area":"mllm"},{"id":"2608.20084","title":"Evidence-Gated Task and Motion Planning with Vision-Language Models","created":"2026-08-20","cited_by_count":0,"area":"mllm"}],"next_cursor":"100"}