Danfeng Chen

About

Danfeng Chen is a researcher whose work lies at the intersection of robotics, sensor design, and assistive technology. Chen’s key contributions include the development of a six-axis force/torque sensor with a large measurement range, specifically engineered for space manipulators—a critical component for force control and teleoperation in the challenging space environment. This work, published in 2015, has garnered 58 citations, underscoring its significance in advancing space robotics. Chen also pioneered a walking assistant robotic system for the visually impaired, integrating computer vision and tactile perception to enhance mobility and safety, which has earned 30 citations. More recently, Chen has explored mobile robot path planning, proposing the MSIAR-GWO algorithm to improve autonomous navigation efficiency and safety. Additionally, Chen designed a smart car capable of maze patrolling with three branch roads, demonstrating practical applications of embedded systems and artificial intelligence. Through these diverse projects, Chen has made notable strides in both industrial robotics and human-centered assistive devices, with a growing citation impact that reflects the relevance of this work to ongoing research in autonomous systems and sensor technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Design and Calibration of a Six-axis Force/torque Sensor with Large Measurement Range Used for the Space Manipulator

   58 citations · 2015
2. 2
   A Walking Assistant Robotic System for the Visually Impaired Based on Computer Vision and Tactile Perception

   30 citations · 2015
3. 3
   Research on Mobile Robot Path Planning Based on MSIAR-GWO Algorithm

   7 citations · 2025
4. 4
   Design and Implementation of the Maze Patrolling with Three Branch Roads by the Smart Car Based on 51 Single Chip Microcomputer

   2 citations · 2020

Key Collaborators

Contact & Links