Mitigating lateral sensing blind spots: A dual-segment bronchoscopic robot with a bioinspired skin

Lateral force blind spots frequently trigger airway injuries during robotic bronchoscopy. Traditional sensing approaches lack fine spatial resolution, and single-segment robots suffer poor posture adjustment flexibility, worsening unmonitored tissue contact. We integrate a snake-scale-inspired 64-channel gradient piezoelectric film with a dual-segment manipulator to resolve lateral blind spots for secure bronchial navigation. The conformally wrapped sensor delivers fast (<10 ms), precise force detection ( R 2 > 0.98, RMSE < 0.145 N, CV < 2%) and filters bending pseudo-forces. The dual-segment design enables coordinated proximal-distal motion to avoid overcontact in tortuous lumens. Phantom and ex vivo porcine lung tests confirm real-time force localization, 5.0 N safety alarms, and autonomous tuning to keep contact forces below 3.0 N. This synergistic robot-sensor design supplies a translatable safety control strategy for flexible surgical manipulators.

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Publication Details

Journal
Science Advances
Published
2026-10-07
DOI
https://doi.org/10.1126/sciadv.aeh9503
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
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article

Mitigating lateral sensing blind spots: A dual-segment bronchoscopic robot with a bioinspired skin

Qiqi Pan, Yongfei Feng, Wenke Duan, Jingjing Luo et al.
Science Advances
Soft Robotics and Applications
article

Mitigating lateral sensing blind spots: A dual-segment bronchoscopic robot with a bioinspired skin

Qiqi Pan, Yongfei Feng, Wenke Duan, Jingjing Luo, Hongbo Wang, Lei Wang, Shijie Guo
article en

Abstract

Lateral force blind spots frequently trigger airway injuries during robotic bronchoscopy. Traditional sensing approaches lack fine spatial resolution, and single-segment robots suffer poor posture adjustment flexibility, worsening unmonitored tissue contact. We integrate a snake-scale-inspired 64-channel gradient piezoelectric film with a dual-segment manipulator to resolve lateral blind spots for secure bronchial navigation. The conformally wrapped sensor delivers fast (<10 ms), precise force detection ( R 2 > 0.98, RMSE < 0.145 N, CV < 2%) and filters bending pseudo-forces. The dual-segment design enables coordinated proximal-distal motion to avoid overcontact in tortuous lumens. Phantom and ex vivo porcine lung tests confirm real-time force localization, 5.0 N safety alarms, and autonomous tuning to keep contact forces below 3.0 N. This synergistic robot-sensor design supplies a translatable safety control strategy for flexible surgical manipulators.

Science AdvancesVol. 12(41)
Ningbo University (CN), Central South University (CN), Hebei University of Technology (CN), Shenzhen Institutes of Advanced Technology (CN)
Openalex Percentile: Top 23%
Soft Robotics and Applications
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Mitigating lateral sensing blind spots: A dual-segment bronchoscopic robot with a bioinspired skin — Qiqi Pan, Yongfei Feng, et al. · Science Advances (2026) | TGRS Research Map | TGRS