Landon Brown
Papers
1
Total Citations
7
H-Index
1
About
Landon Brown is a pioneering researcher in human-robot interaction, with a focus on mixed reality (MR) and nonverbal communication. His work addresses a critical challenge: enabling robots with physical limitations—such as those lacking arms—to communicate effectively with humans. Brown’s most-cited paper, “Best of Both Worlds? Combining Different Forms of Mixed Reality Deictic Gestures” (2022, 7 citations), introduces innovative MR-based deictic gestures that allow armless robots to point and convey spatial information transparently. Through two rigorous studies, he demonstrates how blending virtual and physical cues can overcome robotic constraints, enhancing collaboration and trust. This contribution is foundational for designing more inclusive and capable robotic systems, particularly in settings where traditional gestures are impossible. Brown’s research bridges the gap between human expectations and robotic affordances, earning recognition for its practical impact. His work not only advances MR interfaces but also sets a new standard for human-robot communication in constrained environments, inspiring future innovations in assistive and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1