Projects
The research program is structured into 12 doctoral projects. These aim at tightly linking the four fundamental pillars of cognitive computing – perception, planning & reasoning, learning, and interaction. Application domains include service robotics, Industry 4.0, decentralized logistics and adaptive process management systems. The doctoral projects will set individual priorities to the four fundamental pillars on one hand and the respective application domains on the other.
The table explicates the allocation of the doctoral projects (P1 – P12) to the involved Universities (HSU, UUlm), the responsible supervisors (a), the tandem partner (b) and the experts advisors (c). Furthermore, the methodical focus and the application domain are illustrated.
- P1: Event-Based Adaptive Vision for Sensing Computers (vacant)
- P2: Network Principles for Building Deep Convolutional Computing Architectures (vacant)
- P3: Embedding Cognitive Functions into Service Robots via Model-Driven Design (vacant)
- P4: Systematic Modeling of Utility, Costs and Quality of Service Robot Skills
- P5: Explanation of Adaptive Business Processes
- P6: Semi-automated Process Adaptations in Socio-Technical Systems
- P7: Knowledge-Based Control of Flexible Processes in Logistics (vacant)
- P8: Engineering of Decentrally Controlled Production and Logistics Systems (vacant)
- P9: Control of Distributed Production and Logistics Systems Based on Realtime Analysis of Operational Data
- P10: Cognitive Concepts to Improve Collaboration of Human Operators and Service Robots in Picking Processes
- P11: Planning of Logistic Systems and Processes Based on Technical and Social Data Sources
- P12: Workflow-based Arrangement of Decision-making for Autonomous Agents