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