Papers
12
Total Citations
668
H-Index
12
About
Justin Ho is a pioneering researcher at the intersection of soft robotics, medical robotics, and MRI-guided surgical intervention. His work spans two deeply intertwined domains: developing intelligent control strategies for compliant soft robotic systems and engineering MRI-compatible robotic platforms for minimally invasive surgery. Among his most celebrated contributions is the development of a soft robotic manipulator for MRI-guided transoral laser microsurgery (2021, 144 citations), demonstrating how soft robotics can be seamlessly integrated into demanding clinical environments. Complementing this, his vision-based online learning kinematic control framework using local Gaussian process regression (2019, 115 citations) addressed one of soft robotics' most persistent challenges — precise motion control despite inherent material compliance. Ho has also advanced MRI-guided neurosurgery through compact hydraulic robot designs and multi-stage positioning systems, enabling accurate stereotactic procedures within the confined spaces of imaging equipment. His eye-in-hand visual servoing work (2020, 75 citations) further strengthened feedback control reliability in soft continuum robots operating under challenging sensing conditions. With over 600 cumulative citations across his top publications, Ho's research consistently bridges fundamental robotics challenges with real-world surgical impact, making him a significant voice in next-generation intelligent surgical robotics.
Research Focus
Key Achievements
Top Papers
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- 4Interfacing Soft and Hard: A Spring Reinforced Actuator69 citations · 2019
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