1. Intelligent Robot Architecture (8-3)  Background of research  Research objectives image –Problems A robot must provide diverse services within limited resources. –Approach Using dynamic software architecture technologies to optimize robot resources based on currently executing services. –2 nd Phase Robot S/W Architecture Technologies optimizing robot resources, QoS, user requirements( An autonomous nervous system for Robot S/W)

2. Intelligent Robot Architecture (8-3) Sensing Components Locomotion Components HRI Components … Communication Components S/W Components Constrained H/W Resources Robot H/W & S/W Task Model S/W New Situations Self-EvolvingSelf-Evolving Resource/Quality Optimization of Software Architecture Self-Healing and Adaptation

3. –Plan-based Architecture Brokering –Component Brokering based on Quality Attributes –Optimal Component Deployment by using Multiple/Multidimensional Knapsack Problem –Runtime S/W Monitoring & Dynamic Architectural Reconfiguration  Research contents Intelligent Robot Architecture (8-3)

4. Component Brokering based on Quality Attributes Runtime S/W Monitoring & Dynamic Architectural Reconfiguration Optimal Component Deployment by using Multiple/Multidimensional Knapsack Problem Plan-based Architecture Brokering

5. Sooyong Park Professor, Dept. of Computer Science, Sogang University sypark@sogang.ac.kr Research Institutes : Sogang University, Information and Communication University, Sungkyunkwan University, Hansung University Researchers : 25(Univ. 25) Project Leader