Alejandro Hernandez Herdocia
Papers
2
Total Citations
16
H-Index
2
About
Alejandro Hernandez Herdocia’s research focuses on advancing teleoperation and human-robot interaction, particularly for mobile manipulators operating in unknown or mission-critical environments. His most cited work, “Predictive display for mobile manipulators in unknown environments using online vision-based monocular modeling and localization” (2010, 11 citations), introduces a vision-based predictive display system that compensates for communication latency—a critical barrier in remote robot control. By enabling operators to see a predicted state of the robot in real time, this work directly addresses the challenge of delayed visual feedback, improving task performance in unpredictable settings. In his follow-up study, “Unimodal asymmetric interface for teleoperation of mobile manipulators: A user study” (2012, 5 citations), Herdocia investigates how different command methods—including haptic feedback—affect operator efficiency when controlling a one-arm mobile manipulator via a 6-DOF input device. This user-centered research provides practical insights for designing intuitive interfaces in high-stakes applications like disaster response or remote exploration. Though his citation counts are modest, Herdocia’s contributions are foundational to reducing the cognitive and temporal burdens of teleoperation, making him a notable voice in the field of robotic interfaces and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2