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Vision-Language-Action Models Decision Making Autonomous Systems Human-Robot Interaction Embodied AI Control Systems Action Recognition Embodied Intelligence Safety in AI Vision-Language Integration Robotic Manipulation Task Automation Embodied Agents Spatial Reasoning Manipulation Tasks Action Prediction Action Models Action Generation Autonomous Driving Multimodal Learning Interdisciplinary Studies Spatiotemporal Manipulation Human-Computer Interaction 3D Manipulation Task Conditioning Service Robots Evaluation Methods AI Engineering Continual Learning Collision Avoidance Policy Optimization Techniques Security Simulation Data-Centric Approaches Control Theory Performance Evaluation Vision Systems Task Progress Estimation Vision-Language-Action Systems Task Planning Action Flow Systems Physical Constraints Vision-Language Processing Sports Technology Multimodal Systems Demonstration Techniques Multi-Robot Coordination Future Prediction Planning Algorithms Biomedical Applications Model Adaptation Geometric Representation Vision-Language Models Vision-language-action Policies OOD Execution 3D Modeling Task Execution Instruction Following Tactile Feedback Systems Manipulation Planning Task Optimization Reinforcement Learning Task Performance Improvement Action Planning Operational Safety Motion Planning Policy Learning Motion Reasoning Task-Aware Decision Making Spatial Intelligence Physical AI Facial Recognition Natural Language Processing Action Representation Self-Improvement System Identification Model Evaluation Metrics for Interaction Evaluation Behavior Representation Data Efficiency Action Modeling Multimodal Reasoning Sensory Processing Cognitive Robotics Navigation Systems
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A cluster of July preprints retools model inputs, action interfaces, evaluation methods, runtimes to make pretrained vision‑language backbones reliable for real‑robot control.
