Frederik Haarslev
Papers
10
Total Citations
56
H-Index
4
About
Frederik Haarslev is a leading researcher in social robotics and human-robot interaction, with a focus on developing modular, adaptive robotic systems for real-world welfare applications. His most impactful work centers on the **SMOOTH-Robot**, a low-cost, modular mobile platform designed to assist in elderly care and domestic environments. By emphasizing adaptability, Haarslev has pioneered methods for **proactive control** that allow robots to learn and adjust to individual users over time, as demonstrated in his 2022 study on welfare robot guidance (10 citations). His contributions also extend to **perception and navigation**, including an integrated object detection and tracking framework (8 citations) and context-aware social navigation systems that enable robots to move safely and politely among people. With over 50 total citations across his key publications, Haarslev’s work bridges technical innovation and social necessity, addressing the critical shortage of caregivers through accessible, intelligent robotic assistance. His research on gesture recognition and multimodal attention further underscores his commitment to making robots intuitive partners in human environments.
Research Focus
Key Achievements
Top Papers
- 1The SMOOTH-Robot: A Modular, Interactive Service Robot16 citations · 2021
- 2
- 3An Integrated Object Detection and Tracking Framework for Mobile Robots8 citations · 2020
- 4HRI-Gestures: Gesture Recognition for Human-Robot Interaction5 citations · 2022
- 5Context-aware Social Robot Navigation4 citations · 2021
- 6SMOOTH Robot: Design for a Novel Modular Welfare Robot3 citations · 2019
- 7Towards Socially Acceptable, Human-Aware Robot Navigation3 citations · 2019
- 8Towards Crossmodal Learning for Smooth Multimodal Attention Orientation3 citations · 2018
- 9
- 10Context-aware Social Robot Navigation2 citations · 2021