Welcome to the official website of the 2nd International Conference on Intelligent Autonomous Systems (ICoIAS’2019). The conference will be held from Feb.28-Mar.2, 2019 in Singapore. The theme of ICoIAS’2019 is “Advancing the Frontier of Intelligent Autonomous Systems”, reflecting the ever growing interests in research, development and applications in the dynamic and exciting areas of Intelligent Autonomous Systems (IAS).

The ICoIAS’2019 will provide a premier interdisciplinary platform for scientists, researchers, engineers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the field of IAS.

Topics of interest for submission include, but are not limited to:

A.→ Advanced Intelligent Control

Autonomous Learning

Composite Learning

Disturbance Observer

Self-organizing Algorithm

Reinforcement Learning

Adaptive Dynamic Programming

B.→ System Modeling and Optimization

Intelligent Optimization and Applications

System Modelling and Parameter Estimation

Machine Learning

C.→ Vision and Navigation

Sensors and architectures

Image processing

Pattern recognition

SLAM technologies

D.→ Applications to Autonomous Systems

Unmanned Underwater Vehicles

Unmanned Surface Vehicles

Robotics Systems

Flexible Manipulators

Unmanned Aerial Vehicles

Spacecrafts

Missiles

E.→ Robotics in Education

Robotics curricula

International trends in educational robotics

Project-based learning and robotics

Didactic approaches in educational robotics

Exemplary robotics projects in classes

Web-based robotics and simulation

Integration of robotics in school science/ informatics/technology curricula

Constructivism / constructionism and robotics

Teacher training in educational robotics

Methodologies for teaching robotics

Evaluation criteria and tools for measuring the impact of robotics on students’ learning

Entertainment robotics

Humanoid Robots in education

F.→ Circuit and System Implementation

Machine Learning Integrated Circuit Design

FPGA Implementation

Neurophormic Electronic Circuit