William Kristian Juel

About

William Kristian Juel is a leading researcher in social robotics and human-robot interaction, with a focus on developing intelligent, welfare-oriented robots to address societal challenges like aging populations and caregiver shortages. His work centers on creating robots that can navigate and assist in human environments, particularly in elderly care. Juel’s major contributions include the development of the SMOOTH-Robot, a modular, interactive service robot designed for versatility and affordability, and his pioneering application of Integrative Social Robotics (ISR) to enhance user-centered design in care facilities. He has advanced proactive control systems for individual user adaptation, enabling robots to support elderly people in their homes and institutions, and has explored context-aware social navigation and intention indication to make robots more human-aware. With over 115 citations across his top papers, Juel’s research has significant impact, particularly his 2019 paper on robot technology for future welfare, which has garnered 42 citations. His notable achievements include integrating object detection and tracking frameworks for mobile robots and designing assistive robots that balance ecological and social considerations, as seen in his work on the Penguin robot. Juel’s innovative, hands-on approach is shaping the future of welfare robotics, making him a key figure in the field.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot technology for future welfare: meeting upcoming societal challenges – an outlook with offset in the development in Scandinavia

   42 citations · 2019
2. 2
   Integrative Social Robotics Hands-on

   19 citations · 2020
3. 3
   The SMOOTH-Robot: A Modular, Interactive Service Robot

   16 citations · 2021
4. 4
   Proactive Control for Online Individual User Adaptation in a Welfare Robot Guidance Scenario: Toward Supporting Elderly People

   10 citations · 2022
5. 5
   Intention Indication for Human Aware Robot Navigation

   8 citations · 2020
6. 6
   An Integrated Object Detection and Tracking Framework for Mobile Robots

   8 citations · 2020
7. 7
   Context-aware Social Robot Navigation

   4 citations · 2021
8. 8
   The Penguin – On the Boundary Between Pet and Machine. An Ecological Perspective on the Design of Assistive Robots for Elderly Care

   3 citations · 2019
9. 9
   Towards Crossmodal Learning for Smooth Multimodal Attention Orientation

   3 citations · 2018
10. 10
    Context-aware Social Robot Navigation

    2 citations · 2021

Key Collaborators

Contact & Links