PHD Topics

Doctoral Candidates (DCs) will acquire core research skills through working on their Individual Research Project (IRP) in close collaboration with their Advisory Committee (AC).

DC1 - Progressive Evaluation of Shared Models for Human-Robot Understanding

DC2 - Methodology for Generic Evaluation of Intelligent Collaborative Robotic Systems

DC3 - Monitoring and Self-Adaptation Capabilities for Uncertainty-Informed Resilient Robotics

DC4 - Hybrid Learning Control Strategies for Agent-based Intralogistic Material Flow Systems

DC5 - Reliable Integration of Safety-Constraints into the Learning Process of Collaborative Robots

DC6 - Automated Mission Assessment for Underwater Robots with Semantic Digital Twins

DC7 - Systematic Scenario-Based Testing for Marine Multi-Robot Systems

DC8 - Evaluation of Robot Capabilities Beyond Technology-Based Metrics

DC9 - Understanding and Measuring Human Preferences for Responsible Robot Behavior in Prosocial Conflict Scenarios

DC10 - Integrating Behavioral Specification and Automated Validation for Explainable Autonomy in Collaborative Robotics

DC11 - Retrieval Augmented Scenario Generation for Safety Validation of Human-Robot-Collaboration

DC12 - Measure and Compensation of the Sim2Real Gap using Hybrid Simulation

DC13 - Multi-modal Uncertainty Quantification and Management of AI

DC14 - Bridging the Simulation and Reality Gap in Testing Marine Robots

DC15 - Replicable Provenance-Based Execution and Analysis of Evaluation and Validation Scenarios