Hongye Li

Beijing Information Science & Technology University

Papers

Total Citations

H-Index

About

Hongye Li is a researcher at the forefront of soft robotics and sensor integration, with a particular focus on bio-inspired design and multi-agent systems. Their most influential work, "FBG based shape sensing of a silicone octopus tentacle model for soft robotics" (2018), has garnered 54 citations, demonstrating a significant contribution to the field. This paper introduces a novel approach using Fiber Bragg Grating (FBG) sensors to enable precise shape sensing in soft robotic structures, drawing inspiration from the dexterous movement of an octopus tentacle. This breakthrough is crucial for advancing the control and functionality of soft robots in complex environments. Additionally, Li has explored the challenges of multi-robot coordination through their work on "Multi-robot SLAM and map merging" (2015), addressing key issues in autonomous mapping and navigation. By bridging the gap between biomimetic design and practical sensor technology, Li’s research offers valuable insights for students and engineers aiming to develop more adaptive and intelligent robotic systems. Their work stands as a testament to the potential of merging biological principles with cutting-edge engineering.