Konferenzen  >  Ingenieurwissenschaften  >  Robotik, Automatisierung & Mechatronik

ATZlive, Springer Vieweg

Automated driving helps to prevent accidents. What is more, AI-assisted robotic cars also form the basis for data-driven business models at OEMs. In order to be successful, concepts for future mobility solutions need to be developed from the perspective of user groups, urban and rural regions, and targeted business models. The focus must be on road safety and efficient performance, as well as on ecological, economic, and social sustainability. As an information and communication platform, the International Conference “Automated Driving” is dedicated to the key aspects of the mobility transformation.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar will study the application of modern Knowledge Representation methods in robotics. An interdisciplinary discussion to establish a roadmap for future collaborations will be held between researchers and practitioners of different domains – Knowledge Graph experts to help applying neuro-symbolic technologies on structured knowledge sources, robotics experts that provide knowledge on robotic infrastructures and task deployment, and Hybrid Intelligence experts to help designing scenarios where robots and humans collaborate in a synergistic, proactive and trustworthy way.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

We expect this Dagstuhl Seminar to have outcomes that support research and development in the area of physically assistive robotics, including: documentation of guidelines on how to include the disabled community and other stakeholders in research; highlights and insights about how different disciplines can come together to work on physically assistive robotics; clear open questions regarding topics that still need to be explored in this field in the future; establishment of collaborations between researchers, community, and industry.

Netzgemeinschaften und Gesellschaftliche Aspekte der Informationstechnologie,    Medizintechnik

University of Coimbra, Faculty of Science and Technology

The CONTROLO 2026 brings together academia and professionals from the industry to share cutting-edge concepts, recent developments and research results, and practical achievements and work-in-progress from industry in the fields of control, automation, robotics and soft computing.

Email: controlo2026@apca.pt

Control Systems, Automation and Robotics, Soft-Computing with application to Control, Automation or Robotics, Adaptive Control, Aeronautics and Aerospace control, Control Education, Control technology, sensors and actuators, Control Theory, Architectures and Applications, Discrete-event systems, Distributed Control, Estimation and Identification, Fault Detection, Diagnosis and Fault Tolerant Control, Fuzzy and Neuro-Fuzzy Systems and Control, Human in the Loop Control, Hybrid Systems, Intelligent and AI Based Control, Linear and Nonlinear Control, Modelling and Simulation, Networked Control Systems, Optimal, Robust and Stochastic Control, Optimization Approaches, Remote and Virtual Laboratories, Automated Guided Vehicles, Autonomous Agents, Cyber-Physical Systems, Embedded Systems, Factory Modelling and Automation, Grafcet and Petri-Nets, Human-Agent Interaction, Human-Machine Interfaces, Industrial Networks and Automation, Industrial Automation, Instrumentation, Internet of Things and Industry 4.0, Manufacturing systems, Mechatronics Systems, Mobile Robots, Modelling of Complex Systems, Perception and Awareness, Process Automation, Real-Time Systems, Robotics, Vision, Recognition and Reconstruction, Adaptive and Dynamic Programming, Artificial Intelligence and Pattern Recognition, Cloud, Fog and Big Data, Cognitive Artificial Systems, Computational Intelligence, Data Mining and Information Retrieval, Data Reduction and Interpretation, Evolution of AI Systems, Independent and Cognitive Computing, Intelligent Agents and Context Awareness, Knowledge Acquisition and Representation, Machine Learning, Perception Intelligent Decision Systems, Reinforcement and Deep-Learning

Systemtheorie, Regelung und Automatisierung,    Soft Computing, Evolutionäre Algorithmen, metaheuristische Optimierung, Fuzzylogik