Haole Guo
Papers
3
Total Citations
41
H-Index
3
About
Haole Guo is a rising researcher at the intersection of human-robot interaction, assistive technology, and educational robotics. Their work centers on designing intelligent robotic systems that are not only functional but also socially and physically intuitive for diverse users. Guo’s most impactful contribution explores guiding robots for blind and low-vision (BLV) individuals, investigating how different levels of autonomy and machine forms—from cane-like to car-like designs—affect user trust and independence. This study, with 29 citations, provides critical insights into balancing user control with robotic assistance, earning recognition for its user-centered approach. In STEM education, Guo developed TanTwin, a tangible twin robot system that leverages deep neural networks and LEGO-compatible hardware to make programming accessible for K-12 children, fostering self-directed learning through creative play. Further pushing the boundaries of tactile interaction, Guo’s work on large-format distributed flexible pressure sensors enables robot dogs to recognize and respond to natural human touch, bridging a key gap in non-verbal communication. With a growing citation record and a focus on inclusive, hands-on robotics, Haole Guo is shaping a future where robots are more responsive, empowering, and seamlessly integrated into daily life.
Research Focus
Key Achievements
Top Papers
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