AI 2025: Advances in Artificial Intelligence: 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, Canberra, ACT, Australia, December 1–5, 2025, Proceedings, Part II(16371 Lecture Notes in Computer Science)

This two-volume set LNAI 16370-16371 constitutes the refereed proceedings of the 38th Australasian Joint Conference on Artificial Intelligence, AI 2025, held in Canberra, ACT, Australia, during December 1–5, 2025. The 73 full papers presented together with 1 short papers were carefully reviewed and selected from 152 submissions. They were organized in following topical section: Part I :  Language and Foundation Models and Knowledge Representation and Data Mining, Part II : Learning Algorithms, Computer Vision, AI for Healthcare and  Reinforcement Learning and Robotics.

Table of Contents:
.- Learning Algorithms. .- Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts. .- Minimum Message Length t-test. .- Towards Scalable Backpropagation-Free Gradient Estimation. .- Coordinate-free k-means clustering. .- The Ensemble Kalman Update is an Empirical Matheron Update. .- Using Individual Problem Instances for Exploratory Black Box Optimisation Benchmarking: A Case Study Using XOR Neural Networks. .- On Knowledge-Informed Deep Learning for Modelling Complex Spatiotemporal Systems. .- Trajectory segmentation and self-supervised classification for subtask discovery. .- Computer Vision. .- NoPo3DFusion: Scaling Two Images to Long Videos via 3D-Aware Iterative Diffusion. .- Gaussian Alignment for Relative Camera Pose Estimation via Single-View Reconstruction. .- Street Depth-Aware Gaussian for Modeling Dynamic Urban Scenes. .- Paired Hierarchical VAEs for Image-to-Image Translation and Cross Reconstruction. .- When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection. .- AFFT: Adapter-based Few-shot Fine-Tuning Framework for Remote Sensing Object Detection. .- Depth-aware Audio Visual Segmentation with Geometry-Heuristic Cross Attention. .- EyeDentify: A Deep Learning Approach to Non-Invasive Biometric Identification from Eye Blink Patterns. .- Augmentation and Transformation for Nighttime Cloud Segmentation in All-Sky Camera Images. .- Room Envelopes: A Synthetic Dataset for Indoor Layout Reconstruction from Images. .- PLNet-12: A Vision-Language Benchmark for Zero-Shot Physical Literacy Analysis Across 12 Fundamental Movements. .- TrashTracer: Enabling efficient real-time detection of underwater marine debris. .- AI for Healthcare. .- A-PriDiff: Anatomical Prior-Guided Conditional Diffusion for Ultrasound Spine Image Synthesis. .- MammoMix: Leveraging Mixture of Experts for Robust Mammogram Breast Detection. .- TripletResNet: A Deep Metric Learning Approach for mTBI Diagnosis from 3D CT. .- Efficient Craniofacial Microsomia Detection via Edge-focused 3D Point Cloud Network .- Privacy-Centric Seizure Detection Using Surface Normals, Pose and Segmentation Masks. .- An Explainable Graph Learning Framework for Severe Maternal Morbidity Prediction. .- Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs. .- Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis. .- Reinforcement Learning and Robotics. .- Evolving MCTS Macro-Actions in Real-Time Domains. .- A Hybrid Multi-Agent Reinforcement Learning Framework for Decentralised Search-And-Interact Tasks Under Partial Observability. .- Synergistic MARL: Unifying Physics-Informed, Meta Learning, and Hybrid Learning to Outperform Communication-Based Coordination. .- Guardrail Guided Policy Optimisation: Learning Disentangled Safety Constraints. .- The Consensus Paradox: When Low Disagreement Leads to Catastrophic Failure in Multi-Teacher Reinforcement Learning. .- Towards Search Node-Specific HTN Heuristics. .- Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions. .- PERCY: Personal Emotional Robotic Conversational System. .- Understanding Human Situation Awareness in One-to-Many Human-Robot Interaction Scenarios. .- Learning Preferences in Additive Separable Hedonic Project Games. .- Policy Gradient–Based Reinforcement Weighted Aggregation for Efficient Federated Learning on Heterogeneous Data.