Daniel Cannon
Papers
1
Total Citations
5
H-Index
1
About
Dr. Daniel Cannon is a leading researcher in human-robot interaction, with a primary focus on telemanipulation and the cognitive demands of dexterous robotic control. His most cited work, "Perceived mental workload and operator performance of dexterous manipulators under time delay with master-slave interfaces" (2015, 5 citations), investigates the critical challenges of using non-intuitive joystick interfaces for remote robotic systems. Dr. Cannon’s research demonstrates that these interfaces impose significant cognitive workload on operators, hampering performance and limiting effectiveness on complex, dexterous tasks. By quantifying the relationship between mental workload and operator performance under time-delay conditions, his work provides foundational insights for designing more intuitive, user-centered control systems. This contribution is vital for advancing teleoperation in hazardous environments, such as space exploration and nuclear decommissioning, where reducing operator burden is essential for mission success. Dr. Cannon’s research bridges engineering and cognitive science, offering practical pathways to enhance human-robot collaboration in high-stakes applications.
Research Focus
Key Achievements
Top Papers
- 1