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  2. Light Intensity-driven Bidirectional Photoresponse Vision Sensor For Autonomous Obstacle Avoidance System.
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  2. Light Intensity-driven Bidirectional Photoresponse Vision Sensor For Autonomous Obstacle Avoidance System.

Related Experiment Video

Light Spot-Based Assay for Analysis of Drosophila Larval Phototaxis
07:16

Light Spot-Based Assay for Analysis of Drosophila Larval Phototaxis

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Light Intensity-Driven Bidirectional Photoresponse Vision Sensor for Autonomous Obstacle Avoidance System.

Zhen Liu1, Sen Zhang2, Pingdan Xiao3

  • 1School of Optoelectronic Engineering, Henan Key Laboratory of Advanced Semiconductor & Functional Device Integration, Henan Key Laboratory of Infrared Materials & Spectrum Measures and Applications, Henan Normal University, Xinxiang, Henan, China.

Advanced Materials (Deerfield Beach, Fla.)
|June 10, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a novel bio-inspired vision sensor that mimics insect escape behaviors for robotics. The device achieves dynamic threat-distance adaptation using a unique heterostructure for efficient obstacle avoidance.

Keywords:
autonomous obstacle avoidancephototransistortwo‐dimensional perovskitetwo‐dimensional semiconductorsvision sensors

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08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

Area of Science:

  • Robotics and Artificial Intelligence
  • Bio-inspired Engineering
  • Materials Science

Background:

  • Bio-inspired vision sensors offer potential for advanced robotics and AI.
  • Mimicking insect neural circuits for dynamic threat-distance adaptation in bionic vision is a significant challenge.

Purpose of the Study:

  • To develop a vision sensor emulating insect phototactic/scototactic behaviors for dynamic threat-distance adaptation.
  • To create a novel 2D heterostructure capable of biomimetic processing.

Main Methods:

  • Fabrication of a 2D PVK/h-BN/MoS2/h-BN/2D PVK heterostructure.
  • Implementation of symmetrical gate-field co-regulation for antagonistic field-effect modulation.
  • Utilizing hopping-like ion transport for persistent photocurrent (PPC) and negative photoconductivity (NPC).

Main Results:

  • The sensor successfully emulates insect phototactic/scototactic behaviors.
  • Achieved persistent positive photocurrent (PPC) and negative photoconductivity (NPC) via hole/cation and electron/anion accumulation, respectively.
  • Demonstrated voltage-tunable braking distance control in an autonomous obstacle avoidance system.

Conclusions:

  • The developed vision sensor provides a valuable reference for bionic vision systems.
  • The symmetrical gate-field co-regulation strategy effectively mimics insect neural processing for collision avoidance.
  • This technology enables efficient navigation in dynamic environments by processing light intensity, accumulation, and rate-of-change.