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