Scope
The purpose of the 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO) is to bring together researchers, engineers and practitioners interested in the application of informatics to Control, Automation and Robotics. Four simultaneous tracks will be held, covering Intelligent Control Systems, Optimization, Robotics, Automation, Signal Processing, Sensors, Systems Modelling and Control, and Industrial Engineering, Production and Management.
Informatics applications are pervasive in many areas of Control, Automation and Robotics; This conference intends to emphasize this connection, therefore, authors should highlight the benefits of Information Technology (IT) in these areas. Ideas on how to solve problems using IT, both in R&D and industrial applications, are welcome. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICINCO, with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.
Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.
Conference Areas
Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:
1. INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION
2. ROBOTICS AND AUTOMATION
3. SIGNAL PROCESSING, SENSORS, SYSTEMS MODELLING AND CONTROL
4. INDUSTRIAL ENGINEERING, PRODUCTION AND MANAGEMENT
AREA 1: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION
Decision Support Systems
Distributed Control Systems
Fault Tolerant Control
Neural Networks based Control Systems
Machine Learning in Control Applications
Evolutionary Computation and Control
Software Agents for Intelligent Control Systems
Soft Computing
Affective Computing
Fuzzy Control
Hybrid Learning Systems
Expert Systems for Industry
Intelligent Fault Detection and Diagnosis
Knowledge-based Systems Applications
Planning and Scheduling
Optimization Algorithms
Genetic Algorithms
Engineering Applications
AREA 2: ROBOTICS AND AUTOMATION
Robot Design, Development and Control
Modelling, Simulation and Architecture
Human-Robots Interfaces
Human-Machine Interfaces
Network Robotics
Collective and Social Robots
Humanoid Robots
Mobile Robots and Intelligent Autonomous Systems
Vehicle Control Applications
Space and Underwater Robots
Intelligent Transportation Technologies and Systems
Mechatronics Systems
Telerobotics and Teleoperation
Virtual and Augmented Reality
Autonomous Agents
Perception and Awareness
Vision, Recognition and Reconstruction
Image Processing
Surveillance, Fault detection and Diagnosis
Control and Supervision Systems
Industrial Networks and Automation
Engineering Applications
Social Impact of Automation
AREA 3: SIGNAL PROCESSING, SENSORS, SYSTEMS MODELLING AND CONTROL
Signal Reconstruction
Optimization Problems in Signal Processing
Change Detection Problems
Time-frequency Analysis
Adaptive Signal Processing and Control
Nonlinear Signals and Systems
Force and Tactile Sensors
Mechanical Sensors
Sensors Fusion
Biological Inspired Sensors
Instrumentation Networks and Software
Intelligent Components for Control
System Modelling
System Identification
Modelling, Analysis and Control of Discrete-event Systems
Modelling, Analysis and Control of Hybrid Dynamical Systems
Environmental Monitoring and Control
Information-based Models for Control
Real-Time Systems Control
Computer and Microprocessor-based Control
Telematics in Control
Engineering Applications
AREA 4: INDUSTRIAL ENGINEERING, PRODUCTION AND MANAGEMENT
Lean Enterprise
Manufacturing Systems Engineering
Supply Chain and Logistics Engineering
Industrial Automation and Robotics
Intelligent Design and Manufacturing
Virtual Enterprises and Interoperability
Virtual Manufacturing Technologies
Facilities Design and Work Space Design
Computer-based Manufacturing Technologies
Systems Modelling and Simulation
Performance Evaluation and Optimization
Production Planning, Scheduling and Control
Facilities Planning and Management
Quality Control and Management
Knowledge Management in Industry
Energy Efficiency and Green Manufacturing
Product-service Systems
Precision Engineering
Human Factors Engineering and Ergonomics
Cost and Value Engineering
Business Process Modelling