3rd International Summit on Robotics, Artificial Intelligence & Machine Learning

The 3rd International Summit on Robotics, Artificial Intelligence & Machine Learning (ISRAI2026) will be held from April 20–22, 2026 in Frankfurt, Germany. This premier global event will convene leading voices from academia, industry, research institutions, and government to explore the latest breakthroughs and future directions in intelligent systems. ISRAI2026 is designed as a dynamic platform for collaboration and knowledge exchange, bridging the gap between advanced research and practical applications in Robotics, AI, and ML. Over three days, participants will gain valuable insights through plenary and keynote lectures, technical sessions, paper and poster presentations, live demonstrations, and a technology expo highlighting cutting-edge innovations. The summit will focus on a wide range of emerging topics, including: Generative AI & Explainable Machine Learning, Swarm & Humanoid Robotics, Autonomous Vehicles & Edge AI, Predictive Maintenance & AI in Healthcare, Collaborative Intelligence & Ethical AI By bringing together diverse perspectives and expertise, ISRAI2026 aims to foster impactful connections, spark interdisciplinary collaboration, and accelerate innovation that shapes the future of robotics and artificial intelligence. Join us in Frankfurt for an engaging experience of insight, innovation, and global networking. ? For participation details, please contact us: Bhumi G | Conference Secretary – ISRAI2026 ✉️ Email: [email protected] ? https://robotics2026.spectrumconferences.com/ Topics: Machine Learning and Artificial Intelligence Deep Learning and Computational Intelligence Democratized and Ethics of AI Robotics and Chatbots Grid, Mobile, and Evolutionary Computing AI and Robotics in Space Exploration Artificial Intelligence in Manufacturing Role of Sensors in AI and ML AI in Predictive Maintenance Image and Speech Recognition Biomedical Engineering Dynamical and Generative Models Surgical Robot Theory and Application AI and Robotics in Space Exploration Data Mining and Network Security Safe Computing and Cyber Intelligence Signal Processing and Control Algorithms Natural Language Processing AI-Driven Decision Making Transfer and Ensemble Learning Adaptive Automation in Engineering using Intelligence Neural Networks and Recurrent Networks Networking Protocols, Routing, Algorithms Algorithms, Network Processing, Sensor, and Bluetooth Networks Artificial Intelligence in Life Sciences: Biotechnology, Pharmaceutical, and Health Care Role and Evolution of Artificial Intelligence in Material Science AI & ML in Robotics: Trends and Innovations Autonomous Systems and Smart Machines AI in Industrial and Smart Manufacturing Healthcare Robotics and AI in Life Sciences Cognitive, Social & Human-Robot Interaction Natural Language Processing and Chatbots Computer Vision and Robotic Perception AI in Agriculture, Environment, and Underwater Robotics Disaster Management and Robotics in Hazardous Environments Space and Underwater Robotics with AI Robotic Process Automation and Decision Intelligence Data Mining, Cybersecurity, and AI Ethics Neural & Recurrent Networks in Robotics Quantum and Edge AI in Robotics Deep Learning & Generative Models for Robotics Transfer, Reinforcement & Ensemble Learning Swarm and Collective Robotics Safe, Ethical & Robust AI in Robotics Predictive Maintenance and AI for Reliability Biomedical Engineering and Surgical Robotics Adaptive & Neuro-Inspired Robotics Grid, Mobile & Evolutionary Computing in AI AI and Robotics for Space Exploration Algorithms and Sensor Networks in Robotics Signal Processing and Control Mechanisms Personalized & Context-Aware Robotics AI in Autonomous Vehicles and Navigation Smart Materials and Sensors in Robotics Human-Centered AI and Robot Ethics Robotics in Elderly and Assisted Living Care AI for Image, Speech & Video Recognition Role of AI in Material Science & Engineering AI in Environmental Sustainability and Robotics Cloud, Edge & Distributed AI for Robotics Artificial Intelligence in Multidisciplinary Domains AI-Driven Simulation and Digital Twins Machine Learning Models for Robotics AI for Logistics, Drones & Delivery Robotics Democratization of AI and Policy Implications Future of Robotics and Emerging Technologies