Cover Image

Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	France, Kordel K., Daescu, Ovidiu
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigation
by: France, Kordel K., et al.
Published: (2026)

Olfactory Inertial Odometry: Methodology for Effective Robot Navigation by Scent
by: France, Kordel K., et al.
Published: (2025)

Olfactory Inertial Odometry: Sensor Calibration and Drift Compensation
by: France, Kordel K., et al.
Published: (2025)

Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence
by: France, Kordel K., et al.
Published: (2025)

Chasing Ghosts: A Simulation-to-Real Olfactory Navigation Stack with Optional Vision Augmentation
by: France, Kordel K., et al.
Published: (2026)

BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning
by: Yang, Yi, et al.
Published: (2026)

Chronoamperometry with Room-Temperature Ionic Liquids: Sub-Second Inference Techniques
by: France, Kordel K.
Published: (2025)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
by: Liu, Shuijing, et al.
Published: (2024)

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
by: Li, Chenhao, et al.
Published: (2025)

Causality-Aware Transformer Networks for Robotic Navigation
by: Wang, Ruoyu, et al.
Published: (2024)

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
by: Liu, Shuijing, et al.
Published: (2024)

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
by: Zhu, Chuning, et al.
Published: (2025)

Distributionally Robust Statistical Verification with Imprecise Neural Networks
by: Dutta, Souradeep, et al.
Published: (2023)

Reinforcement Learning for Hanabi
by: Cohen, Nina, et al.
Published: (2025)

Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)

Aligning Robot Navigation Behaviors with Human Intentions and Preferences
by: Karnan, Haresh
Published: (2024)

Language-Conditioned Offline RL for Multi-Robot Navigation
by: Morad, Steven, et al.
Published: (2024)

Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
by: Jaisankar, Kanishkha, et al.
Published: (2025)

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2025)

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
by: Puthumanaillam, Gokul, et al.
Published: (2025)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
by: Abuduweili, Abulikemu, et al.
Published: (2024)

Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
by: Kolomeytsev, Yury, et al.
Published: (2025)

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
by: Liu, Shuijing, et al.
Published: (2020)

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2023)

Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
by: Kolomeytsev, Yury, et al.
Published: (2024)

Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
by: Patel, Bhrij, et al.
Published: (2023)

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)

Adaptive Diffusion Policy Optimization for Robotic Manipulation
by: Jiang, Huiyun, et al.
Published: (2025)

Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
by: Ada, Suzan Ece, et al.
Published: (2024)

Fidelity-Aware Data Composition for Robust Robot Generalization
by: Tong, Zizhao, et al.
Published: (2025)

Neural-Network-Driven Reward Prediction as a Heuristic: Advancing Q-Learning for Mobile Robot Path Planning
by: Ji, Yiming, et al.
Published: (2024)

Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
by: Li, Keyu, et al.
Published: (2021)

Neural Robot Dynamics
by: Xu, Jie, et al.
Published: (2025)

Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
by: Rivera, Diego Machain, et al.
Published: (2025)

Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)

Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning
by: Hassidof, Yaniv, et al.
Published: (2026)

SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
by: Koh, Keonyoung, et al.
Published: (2026)

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
by: Zhang, Jiefu, et al.
Published: (2026)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
by: Yokozawa, Riko, et al.
Published: (2025)