Research areas

• Knowledge representation and reasoning (knowledge retrieval, forgetting mechanisms, template- and case-based reasoning)
• Lifelong robot learning
• Simulation-based robot learning and reasoning
• Robot fault detection and diagnosis
• Cognitive robotics

Teaching

Lecturer

• Cognitive Robotics (SS24, SS23)
• Robot Learning (WS24, WS23)
• Autonomous Mobile Robots (WS24, SS24, WS23)
• Software Engineering for Robotics (WS24, SS24, WS23)
• Research and Development Colloquium (WS19; joint lecturer in SS18)
• Fault Detection and Diagnosis (SS19)

Teaching assistant

• Mathematics for Robotics and Control (SS21, WS20, SS20, WS19, WS18, SS18, WS17, joint TA in SS17)
• Software Development Project  - project coach (WS22, SS22, SS21, WS20, SS20)
• Scientific Experimentation and Evaluation (WS18, SS18, WS17, joint TA in SS17)

Supervised master's theses

• On using conversational AI for autonomous planning goal specification
• Visuomotor policy learning for predictive manipulation
• Coupled active perception for mobile manipulation in unknown environments
• Multimodal deep learning-based adaptation of robot behaviour for assistive robotics
• Experience-based path planning framework for real-time learning from demonstration
• Outdoor navigation in uneven terrain using learning methods
• Robust robot task execution using monitoring and recovery in anomalous conditions
• Multimodal deep learning-based adaptation of robot behaviour for assistive robotics
• Robust environment sound classification and anomaly detection using deep learning
• Towards improvements on RoboCup@Home robots architecture, capabilities and development process
• Lifelong action learning for socially assistive robots

Supervised R&D projects

• Incorporating contextual knowledge into human-robot collaborative task execution
• Learning corrective models for multistep actions by analysing videos
• Integrating anomaly detection with fault diagnosis for long-horizon tasks
• Registering and visualizing point cloud data with existing 3D CityGML Models
• A comparative analysis of fault detection approaches in mobile robots
• Benchmarking object placement algorithms for mobile robotic manipulators
• Tell your robot what to do: Evaluation of natural language models for robot command processing
• Safe and fault-aware child-robot natural language interaction
• Manipulating handles in domestic environments
• Learning grasp evaluation models using synthetic 3D object-grasp representations
• Dynamic motion primitives
• Ontology-based robot fault diagnosis
• Learning human gestures by imitation for robots
• Benchmarking object placement algorithms for mobile robotic manipulators
• Learning-based indoor robot navigation
• Development and implementation of a self-learning control approach for contact-rich object manipulation
• Automated test generation for robot self-examination
• Explainability analysis for skill execution
• Learning efficient knife handling skills in semi-structured environments on a dual-arm robot
• Personalised behaviour models for child-robot interaction
• Semantic information by acoustic clues: A modern approach to anomaly detection for robotics