Luke Boorman
Papers
9
Total Citations
146
H-Index
6
About
Luke Boorman’s research lies at the intersection of human-robot interaction (HRI), telepresence, and cognitive robotics, with a focus on building robots that are not only intelligent but also trusted and intuitive to work with. His most cited work, “Framing Factors” (35 citations), dissects the contextual and individual influences on trust in HRI, establishing a foundational framework for deploying robots in real-world settings. In the realm of telepresence, Boorman pioneered multisensory wearable interfaces (33 citations) that enable immersive, remote robot control—using platforms like the iCub humanoid and Oculus Rift to create a convincing sense of “being there.” His integrated probabilistic framework for perception, learning, and memory (29 citations) advances how robots fuse multi-modal sensory data, drawing inspiration from hippocampal models for spatial navigation. Boorman also explores social dynamics, as in his work on facilitating helping behaviors toward robots (17 citations) and developing safe, trustworthy robotic assistants (ROBO-GUIDE). With a career spanning trust, immersion, and cognitive architectures, Boorman’s contributions are shaping how robots perceive, learn, and earn human confidence in complex, interactive environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multisensory Wearable Interface for Immersion and Telepresence in Robotics33 citations · 2017
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- 5Telepresence: Immersion with the iCub Humanoid Robot and the Oculus Rift9 citations · 2015
- 6Towards a Wearable Interface for Immersive Telepresence in Robotics8 citations · 2017
- 7
- 8Floor determination in the operation of a lift by a mobile guide robot5 citations · 2015
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