Daniel Gongora
Papers
2
Total Citations
7
H-Index
2
About
Daniel Gongora’s research bridges haptics, human-robot interaction, and teleoperation, focusing on how vibrotactile feedback can enhance operator awareness and efficiency in remote robotic tasks. His work addresses critical challenges in mobile robot operations, particularly the detection of unnoticed collisions and the rapid review of robot operation videos. In his most cited paper (2017, 4 citations), Gongora introduced a novel vibrotactile stimulation method that mimics how humans perceive impacts on a bar held bimanually, enabling operators to localize frontal collisions intuitively. This approach improves situational awareness in exploratory tasks where visual feedback is limited. His 2019 study (3 citations) tackled the problem of event saliency during fast video playback, demonstrating that vibrotactile cues can preserve event-related information, allowing operators to quickly detect short, critical incidents without sacrificing speed. Though early in his career, Gongora’s contributions are notable for their practical application to real-world teleoperation challenges, offering scalable, low-cost solutions that enhance human-robot collaboration. His work holds promise for improving safety and efficiency in domains like search-and-rescue, space exploration, and industrial robotics.
Research Focus
Key Achievements
Top Papers
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