Conferences  >  Engineering  >  Robotics, Automation & Mechatronics

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.

Anhui University of science & technology

The International Conference on Vehicle Engineering and Intelligent Control (VEIC 2026) will be held from May 29 to 31, 2026, in Qingdao, Hefei, China. The conference aims to discuss and showcase cutting-edge research achievements and practical applications, with a specific focus on the intersection of vehicle engineering and intelligent control. Against the backdrop of global "dual carbon" goals and the ongoing intelligent transformation of transportation, the integrated innovation of these two fields is particularly crucial.With advancements in artificial intelligence, automatic control, and big data technologies, vehicle engineering has achieved significant progress in safety performance and energy efficiency. Concurrently, intelligent control technologies are driving the automotive industry toward a connected and intelligent transformation.This conference will bring together experts and scholars from academia and industry to explore solutions, share research findings, promote continuous innovation in the field, and contribute to the development of a sustainable intelligent vehicle ecosystem.

Email: icveic@163.com

The topics of interest for submission include, but are not limited to:Track1: Vehicle Engineering，Hydrogen Fuel Vehicle Technology，Solid-State Battery Applications，Powertrain Control，Intelligent Suspension Systems，Carbon Fiber Lightweighting，LiDAR Perception，Vehicle-Infrastructure Cooperative Communication，Power and Energy Storage Technology，High-Efficiency Propulsion Optimization，Powertrain Fault Diagnosis，Vehicle Thermal Management Cycles，Low-Carbon Powertrain Integration，Vehicle Dynamics Control，Track2: Intelligent Control，V2X Cooperative Control，Predictive Control Algorithms，Edge Computing Applications，Multi-Sensor Fusion，Adaptive Robust Control，Intelligent Fault Diagnosis，Machine Learning Optimization，Vehicular Network Security，Reinforcement Learning-Based Decision Making，Model Predictive Control，Digital Twin Technology，Vehicle Path Planning，Data-Driven Control，Chassis Cooperative Control，Intelligent Charging Scheduling，Intelligent Driving Technology，Internet of Vehicles Applications，Onboard Intelligent Decision-Making.

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.

Social Networks and Social Aspects of Information Technology,    Healthcare Technologies

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

Systems theory, Control and Automation,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic