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Prof. Dr.-Ing. Frank Flemisch serves as Professor at RWTH Aachen University within the Faculty of Mechanical Engineering, specifically affiliated with the Institute of Automotive Engineering (IAW). His office is located in the Collective Building of the Faculty of Mechanical Engineering at Eilfschornsteinstraße 18, Aachen, with direct contact via +49 241 80-99435 and email f.flemisch@iaw.rwth-aachen.de. Professor Flemisch specializes in system ergonomics with research spanning human-machine interaction, automated driving systems, and human-AI cooperation. His work focuses on meaningful human control frameworks, confidence horizons in cooperative systems, and capability-based task allocation between humans and machines. Recent publications reveal a strong emphasis on defense technology integration, teleoperation systems, and cognitive aspects of human-system interaction in automated environments. Analysis of his publication trends shows consistent exploration of holistic models for human-AI integration, particularly through bow-tie frameworks that balance human control with system autonomy. His research bridges theoretical concepts like human capability conjugation with practical applications in automotive and defense contexts, emphasizing stakeholder-oriented design and agile development methodologies. Much of his recent work addresses the critical transition points where human operators must interact with or take over from automated systems. Professor Flemisch actively contributes to the development of cooperative vehicle systems, with significant attention to human factors in teleoperated vehicles and the psychological aspects of human-machine teaming. His approach integrates cognitive science principles with engineering design to create more intuitive and trustworthy automated systems across multiple domains including automotive, aerospace, and defense applications.

• Human-Machine Interaction
• Automated Driving Systems
• Human-AI Cooperation
• +4 more

Elin Anna Topp is a Senior Lecturer in the Department of Computer Science at Lund University's Faculty of Engineering (LTH), holding the title of Excellent Teaching Practitioner (ETP) and serving as Head of Department. She manages projects including NEXTG2COM (a Vinnova Competence Centre) and contributes to Lund's Natural and Artificial Cognition and AI and Digitalization profile areas. Her research centers on establishing common ground between humans and machines through Artificial Intelligence, Cognitive Science, and Human-Robot Interaction. She develops robotic systems that communicate effectively with users in industrial/service robotics and autonomous system monitoring (e.g., drones, self-driving cars), focusing on resolving ambiguities from mismatched human-robot expectations. This work stems from her PhD research on Human Augmented Mapping and addresses critical needs for flexible, human-comprehensible interfaces in increasingly autonomous systems. Recent publications (2023-2025) reveal strong thematic cohesion in human-robot interaction for autonomous systems, with dominant trends in situational awareness assessment (UAV operations), conflict simulation (autonomous driving), and conversational interfaces. Her work consistently bridges cognitive theory with practical robotics applications, emphasizing human-centered design for safety-critical domains. Scientific recognition includes: Excellent Teaching Practitioner title from LTH's Pedagogical Academy (2022-present) She actively shapes graduate education as WASP Graduate School Management member (since 2019) and COMPUTE Graduate School Steering group member, coordinating specialized courses like WASP's Interaction, Collaboration, and Visualisation. Major research funding comes from AISA (AI-powered situational awareness, 2023-2026) and NextG2Com (2024-2028), supporting her work on shared autonomy and digital infrastructure. Her leadership extends to supervising PhD projects including 'Get a Grip - Accurate robot–human handovers'. Topp co-manages RobotLab LTH infrastructure and collaborates across Lund's robotics ecosystem through initiatives like Robotics Week for schools and the Natural and Artificial Cognition conference series, fostering interdisciplinary teams spanning computer science, engineering, and cognitive science.

• Artificial Intelligence
• Cognitive Science
• Human-Robot Interaction
• +3 more

Dr. Chongfeng Wei is an Associate Professor (University Senior Lecturer) at the James Watt School of Engineering, University of Glasgow. Prior to joining the University of Glasgow, he was a lecturer at Queen's University Belfast. His research focuses on intelligent vehicles, autonomous systems, and human-robot interaction, with applications in transportation and robotics. Dr. Wei's research spans several key areas in autonomous systems and vehicle dynamics: Decision-making and Planning of Intelligent Vehicles Collective Autonomy: Perception and Planning Robotic System Design and Dynamical Control Dynamics and Control of Mechanical Systems Human Behaviour Study and Prediction His recent publications demonstrate a strong focus on human-vehicle interaction, with particular emphasis on pedestrian-vehicle interactions, decision-making frameworks, and control strategies for autonomous systems. His work often combines AI technologies, bio-designs, and first principles of dynamics and control to create smarter or human-acceptable autonomous systems. Dr. Wei serves as an Associate Editor for several prestigious journals including IEEE Transactions on Intelligent Transportation Systems (TITS), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Intelligent Vehicles (TIV), IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS), and Frontiers on AI and Robotics. He actively supervises PhD students and postdoctoral researchers, with current projects focusing on vision-based 3D flow prediction, pedestrian interaction modeling, and multimodal interaction for behavior prediction in autonomous driving.

• Decision-making and Planning of Intelligent Vehicles
• Collective Autonomy
• Robotic System Design
• +5 more

Dr. Marco Tognon is an Assistant Professor in the Department of Mechanical and Process Engineering at ETH Zurich, specializing in aerial robotics with a particular focus on tethered systems and physical interaction capabilities. Born in Italy in 1989, he completed his doctoral studies at INSA Toulouse in 2018 under the supervision of Antonio Franchi and Juan Cortés. His academic journey has taken him through LAAS-CNRS for postdoctoral research before establishing his independent research group at ETH Zurich. Dr. Tognon's research interests center on aerial robotics, particularly tethered aerial vehicles and their physical interaction capabilities. His work spans control theory for aerial robots, motion planning, human-robot collaboration, and aerial manipulation systems. He has developed novel approaches for cable-suspended load transportation, physical human-aerial robot interaction, and specialized aerial platforms like the Geranos tilted-rotors system for pole transportation. His research bridges theoretical control frameworks with practical implementation in real-world scenarios, especially in industrial and agricultural applications. His publication record demonstrates consistent productivity with numerous high-impact publications in IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, and major conferences like ICRA and IROS. Recent work (2023-2025) shows particular emphasis on agricultural applications (tree shaking), specialized aerial platforms, and advanced control techniques for physical human-robot interaction. His research group maintains strong international collaborations, particularly with institutions in France, Italy, and Switzerland. Specialized aerial manipulation systems for agricultural tasks Novel aerial platforms for specific transportation needs Advanced control frameworks for physical human-robot interaction Rigorous theoretical foundations with experimental validation Dr. Tognon's work exemplifies the integration of theoretical control principles with practical robotics applications, with increasing focus on real-world implementation in agricultural and industrial settings. His research group provides students with opportunities to work at the cutting edge of aerial robotics while addressing practical challenges in physical interaction scenarios.

• Aerial Robotics
• Tethered Aerial Vehicles
• Control Systems
• +6 more