ICRA 2025 Past Large language modelsSafety & alignmentRobotics
1st Workshop on Safely Leveraging Vision-Language Foundation Models in Robotics: Challenges and Opportunities
ICRA-Safe-VLM-WS-2025
- Submission deadline
- May 3, 2025, 06:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (18)
Fetched from OpenReview (v2) on 2026-06-10.
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Adapting Diffusion Policies to Human Preferences via Reward-Guided Fine-Tuning
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Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped Locomotion
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CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance
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DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
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Human-in-the-loop Foundation Model Failure Recovery for Robot-Assisted Bite Acquisition
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Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
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KitchenVLA: Iterative Vision-Language Corrections for Robotic Execution of Human Tasks
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Let's Talk About Language! Investigating Linguistic Diversity in Embodied AI Datasets
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MAGIC-VFM Meta-learning Adaptation for Ground Interaction Control with Visual Foundation Models
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OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations
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Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture
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Residual Policy Gradient: A Reward View of KL-regularized Objective
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Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
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Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust
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Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
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Towards Safe Robot Foundation Models Using Inductive Biases
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Versatile Legged Locomotion Adaptation through Vision-Language Grounding
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Vision Foundation Model Embedding-Based Semantic Anomaly Detection