Hao Ren

Dr. Hao Ren

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 July 2022 in ACS Applied Polymer Materials
Verified
Journal Article
Closed access
LYLiu Yang
Liu Yang
JMJiaqi Miao
Jiaqi Miao
GLGen Li
Gen Li
Hao RenHao Ren
Hao Ren
TZTieshan Zhang
Tieshan Zhang
YSYajing Shen
Yajing Shen

1 April 2025 in Nature Communications
Verified
Journal Article
Open access
PDF file
Hao RenHao Ren
Hao Ren
LYLiu Yang
Liu Yang
HCHong-Yuan Chang
Hong-Yuan Chang
Tieshan ZhangTieshan Zhang
Tieshan Zhang
GLGen Li
Gen Li
YSYajing Shen
Yajing Shen
Skin-like planar tactile sensors have achieved adaptive gripping, in-hand manipulation, and human-machine interaction but remain limited in tasks requiring active environmental interaction and robustness against large mechanical perturbations. Inspired by the biological antennas of nocturnal insects, we introduce a biological antenna-like electronic tactile sensor with enhanced mechanical robustness, capable of withstanding 1800% twist, 224% stretch, 360° bending, large compression, and punctures. Through segmented flexibility and partial magnetization, it achieves an impressive 1.76° omnidirectional loading recognition accuracy, outperforming biological antennas by 17 times. Its scalable plug-and-play capability, combined with an tactile perception algorithm, ensures seamless integration across various robots for diverse tasks. We demonstrate the vision-free navigation with 0.2 mm tracking deviation, 97% accuracy in ground texture recognition, and conformal robotic brushing on serpentine surfaces with a force variance of 0.34 N. This research offers valuable insights for active tactile-based environmental perception and interaction, promising advancements in robotics across various fields.

25 October 2022 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
JMJiaqi Miao
Jiaqi Miao
SSSiqi Sun
Siqi Sun
TZTieshan Zhang
Tieshan Zhang
GLGen Li
Gen Li
Hao RenHao Ren
Hao Ren
YSYajing Shen
Yajing Shen

30 December 2024 in Nature Communications
Verified
Journal Article
Open access
PDF file
Tieshan ZhangTieshan Zhang
Tieshan Zhang
GLGen Li
Gen Li
Hao RenHao Ren
Hao Ren
LYLiu Yang
Liu Yang
XYXiong Yang
Xiong Yang
YSYajing Shen
Yajing Shen
Small-scale continuum robots hold promise for interventional diagnosis and treatment, yet existing models struggle to achieve small size, precise steering, and visualized functional treatment simultaneously, termed an “impossible trinity”. This study introduces an optical fiber-based continuum robot integrated imaging, high-precision motion, and multifunctional operation abilities at submillimeter-scale. With a slim profile of 0.95 mm achieved by microscale 3D printing and magnetic spray, this continuum robot delivers competitive imaging performance and extends obstacle detection distance up to ~9.4 mm, a tenfold improvement from the theoretical limits. Besides, the robot showcases remarkable motion precision (less than 30 μm) and substantially widens the imaging region by ~25 times the inherent view. Through ex vivo trials, we validate the robot’s practicality in navigating constrained channels, such as the lung end bronchus, and executing multifunctional operations including sampling, drug delivery, and laser ablation. The proposed submillimeter continuum robot marks a significant advancement in developing biomedical robots, unlocking numerous potential applications in biomedical engineering.

24 January 2025 in Science Advances
Verified
Journal Article
Open access
YTYifeng Tang
Yifeng Tang
GLGen Li
Gen Li
Tieshan ZhangTieshan Zhang
Tieshan Zhang
Hao RenHao Ren
Hao Ren
Xiong YANGXiong YANG
Xiong YANG
YSYajing Shen
Yajing Shen
Tactile interfaces are essential for enhancing human-machine interactions, yet achieving large-scale, precise distributed force sensing remains challenging due to signal coupling and inefficient data processing. Inspired by the spiral structure of Aloe polyphylla and the processing principles of neuronal systems, this study presents a digital channel–enabled distributed force decoding strategy, resulting in a phygital tactile sensing system named PhyTac. This innovative system effectively prevents marker overlap and accurately identifies multipoint stimuli up to 368 regions from coupled signals. By integrating physics into model training, we reduce the dataset size to just 45 kilobytes, surpassing conventional methods that typically exceed 1 gigabyte. Results demonstrate PhyTac’s impressive fidelity of 97.7% across a sensing range of 0.5 to 25 newtons, enabling diverse applications in medical evaluation, sports training, virtual reality, and robotics. This research not only enhances our understanding of hand-centric actions but also highlights the convergence of physical and digital realms, paving the way for advancements in AI-based sensor technologies.

31 March 2022 in Advanced Science
Verified
Journal Article
Open access
LYLiu Yang
Liu Yang
TZTieshan Zhang
Tieshan Zhang
RTRong Tan
Rong Tan
Xiong YANGXiong YANG
Xiong YANG
DGDong Guo
Dong Guo
YSYajing Shen
Yajing Shen
Untethered small robots with multiple functions show considerable potential as next‐generation catheter‐free systems for biomedical applications. However, owing to dynamic blood flow, even effective upstream swimming in blood vessels remains a challenge for the robot, let alone performing medical tasks. This paper presents an untethered millirobot with a streamlined shape that integrates the engine, delivery, and biopsy modules. Based on the proposed spiral‐rolling strategy, this robot can move upstream at a record‐breaking speed of ≈14 mm s−1 against a blood phantom flow of 136 mm s−1. Moreover, benefiting from the bioinspired self‐sealing orifice and easy‐open auto‐closed biopsy needle sheath, this robot facilitates several biomedical tasks in blood vessels, such as in vivo drug delivery, tissue and liquid biopsy, and cell transportation in rabbit arteries. This study will benefit the development of wireless millirobots for controllable, minimally invasive, highly integrated, and multifunctional endovascular interventions and will inspire new designs of miniature devices for biomedical applications.