Trevor Grant
Papers
5
Total Citations
40
H-Index
4
About
Trevor Grant is a pioneering researcher at the intersection of robotics, augmented reality (AR), and human cognition. His work focuses on how mixed-reality interfaces can transform human-robot interaction (HRI) by making robot communication more intuitive and adaptive. Grant’s major contribution lies in demonstrating that AR-generated gestures—such as visual annotations or virtual cues—can significantly improve how humans understand and respond to robot instructions. His 2020 paper, *"Using Augmented Reality to Better Study Human-Robot Interaction"* (18 citations), laid the groundwork for this approach, while his 2021 study, *"Get This!? Mixed Reality Improves Robot Communication Regardless of Mental Workload"* (6 citations), provided the first experimental evidence that these gestures reduce user response times in visual search tasks without increasing cognitive load. Grant also explores neurophysiological measurements to dynamically adapt robot communication, as seen in his 2018 work (10 citations). With a growing body of research (over 40 total citations), Grant’s findings are shaping the future of collaborative robotics, where machines seamlessly blend physical and digital cues to enhance human performance.
Research Focus
Key Achievements
Top Papers
- 1Using Augmented Reality to Better Study Human-Robot Interaction18 citations · 2020
- 2Workload-driven modulation of mixed-reality robot-human communication10 citations · 2018
- 3
- 4Robot-Generated Mixed Reality Gestures Improve Human-Robot Interaction4 citations · 2021
- 5