International conference on Artificial Intelligence, Machine Learning and Robotics (ICAIMLR 2026)

Graph Neural Networks: Novel Applications
Bayesian Optimization: Efficient Model Optimization
Few-Shot Learning: Techniques for Small Data
Semi-Supervised Learning: Leveraging Limited Labels
Scalable Machine Learning: Handling Large-Scale Data
Continuous Learning: Adapting to Dynamic Environments
Evolutionary Algorithms: Optimization Strategies
Explainable AI for Robotics and Automation
Human-AI Collaboration: Enhancing Human Capabilities
AI Ethics, Trust, and Transparency in Decision-Making
Meta-Learning for Generalizable ML Models
Human-Centered AI in Robotics
Trustworthy and Interpretable ML Models
Causal Machine Learning in Robotics
ML for Robot Motion and Path Planning
Learning-Based Robot Control Systems
Data-Driven Modeling for Robotic Systems
ML in Adaptive and Reconfigurable Robots
Machine Learning for Edge Robotics
Reinforcement Learning in Robotics: Challenges & Solutions
Automated Machine Learning (AutoML): Tools & Applications
Mobile Robots and Intelligent Autonomous Systems
Visual Robotics and Recognition Systems
Robot Design, Development and Control
Human-Robot Interaction and Social Robotics
Networked and Collaborative Robotics
Multimodal AI for Human-Robot Interaction
Language Models and Symbolic Reasoning for Robots
AI in Robot Vision and Scene Understanding
Machine Perception and Recognition Systems
Knowledge Graphs: Representing Structured Knowledge
Natural Language Processing in Healthcare
AI-Powered Diagnostics and Clinical Decision Support
Medical Imaging and Radiomics
Wearables, IoT & Real-Time Health Monitoring
AI in Mental Health and Behavioral Analysis
Predictive maintenance using AI
Intelligent systems engineering
AI-Driven Signal Processing for Real-Time Intelligent Systems
Audio and Speech Signal Processing Using Machine Learning
Signal Processing for Human–Robot Interaction and Sensory Perception
Sensor Fusion and Multimodal Signal Processing for Autonomous Navigation
AI-Enabled Communication and Network Optimization
Cognitive Computing and Embedded AI Systems
Human Skills, Tasks, and Robots: Work Models Across People and Technology
Deep learning for image recognition and classification