ICRA 2025 Past Large language modelsRoboticsNeuroscience
ICRA 2025 Workshop on Foundation Models and Neuro-Symbolic AI for Robotics
ICRA 2025 FMNS
- Submission deadline
- May 19, 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 (33)
Fetched from OpenReview (v2) on 2026-06-10.
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A Robust Framework for Open-Vocabulary Multi-Object Search with Visual-Language Understanding
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Action-Free Reasoning for Policy Generalization
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AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
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Completing Explicit 3D Reconstruction via View Extrapolation with Diffusion Priors
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Continual Robot Learning via Language-Guided Skill Acquisition
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Continual Robot Skill and Task Learning via Dialogue
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CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph
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Deployment-time Selection of Prompts for LLM-informed Object Search in Partially-Known Environments
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DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
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DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
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Foundation Models to the Rescue: Deadlock Resolution in Connected Multi-Robot Systems
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Four Principles for Physically Interpretable World Models
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Generative Trajectory Stitching through Diffusion Composition
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GENFLOWRL: Generative Object-Centric Flow Matching for Reward Shaping in Visual Reinforcement Learning
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GRAPE: Generalizing Robot Policy via Preference Alignment
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Hier-SLAM++: Neuro-Symbolic Semantic SLAM with a Hierarchically Categorical Gaussian Splatting
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Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
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Implementing LLM-Integrated Storytelling Robot
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Label-Efficient LiDAR Scene Understanding with 2D-3D Vision Transformer Adapters
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Learning Factorized Diffusion Policies for Conditional Action Diffusion
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Leveraging Foundation Models for One-Shot Learning via HRC and Aerial-Ground Multi-Robot Collaboration
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MAGIC-VFM Meta-learning Adaptation for Ground Interaction Control with Visual Foundation Models
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Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
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Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
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Neuro-Symbolic Task Planning and Replanning using Large Language Models
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RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
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Real2Gen: Imitation Learning from a Single Human Demonstration with Generative Foundational Models
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RoboMAN: Human-like Compliance Manipulation for Electronics Assembly via an Online Memory-Augmented Network
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Rolling Diffusion Policy for Robotic Action Prediction: Enhancing Efficiency and Temporal Awareness
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SENT Map - Semantically Enhanced Topological Maps with Foundation Models
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Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
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YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
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Zero-Shot Context Identification through Clustering and Foundation Modeling for Friction Estimation