Papers
2
Total Citations
18
H-Index
2
About
Haobo Zhang is a researcher at the intersection of intelligent robotics and minimally invasive surgical innovation, with key contributions in anomaly detection and surgical robotics. Zhang’s most cited work proposes a sliding window one-dimensional convolution autoencoder for industrial robot vibration anomaly detection—a data-driven method that overcomes the limitations of traditional model-based approaches and scarce anomalous data. This paper has garnered 10 citations, reflecting its practical value in predictive maintenance and industrial automation. In the surgical domain, Zhang is a co-investigator on the NOTR trial, a randomized controlled study evaluating robotic natural orifice specimen extraction surgery (NOSES) for colorectal cancer patients. This protocol, with 8 citations, aims to reduce abdominal incisions and advance minimally invasive techniques. Zhang’s work bridges engineering and clinical medicine, offering scalable solutions for robot health monitoring while pushing the boundaries of surgical robotics. Their research is notable for its dual focus on reliability and patient outcomes, making Zhang a rising figure in both industrial and medical robotics.
Research Focus
Key Achievements
Top Papers
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