Anne Kickton
Papers
1
Total Citations
5
H-Index
1
About
Anne Kickton is a researcher in social robotics and human-robot interaction, with a focus on robust perceptual systems that enable robots to engage naturally with people. Her most-cited work, "Robust Perception of an Interaction Partner Using Depth Information" (2013, 5 citations), addresses a critical challenge in the field: reducing false positive rates in human detection to improve the reliability of robot perception during real-time interactions. By leveraging depth-sensing technology, Kickton’s contributions help robots more accurately identify and track human partners, enhancing the safety and fluidity of collaborative tasks. This work is foundational for developing socially aware robots that can operate in dynamic, unstructured environments. Though her citation count is modest, her research is a stepping stone for advancing perception algorithms in interactive robotics, demonstrating a commitment to solving practical problems that bridge computer vision and human-robot interaction. Kickton’s efforts underscore the importance of robust sensing in creating robots that are not only functional but also intuitive and trustworthy partners for humans.
Research Focus
Key Achievements
Top Papers
- 1Robust Perception of an Interaction Partner Using Depth Information5 citations · 2013