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Developing Smart Vision Assistive Technology
Developing Smart Vision Assistive Technology
Keywords: State Estimation, Planning, Visual Assistive Technology
More than 200 million people are estimated to have moderate or severe vision impairment in 2020. Their lack of autonomy limits the completion of many daily living activities. In this project, we will focus on applying robotics techniques, such as state estimation and path planning, to help visually impaired people to navigate unknown and unstructured environments.
Image credits: Katzschmann et al. 2018.
More than 200 million people are estimated to have moderate or severe vision impairment in 2020. Their lack of autonomy limits the completion of many daily living activities. In this project, we will focus on applying robotics techniques, such as state estimation and path planning, to help visually impaired people to navigate unknown and unstructured environments.
Image credits: Katzschmann et al. 2018.
This project aims to develop a navigation solution for visually impaired people. The student will work on state estimation, such as VIO and SLAM, and path planning algorithms from the robotic domain and make them suitable for the navigation of visually impaired people.
A successful navigation system will be deployed during the 2024 edition of the Cybathlon Competition, https://cybathlon.ethz.ch/en.
The project will be carried out at RPG in collaboration with the Autonomous System Lab, ETH Zurich.
This project aims to develop a navigation solution for visually impaired people. The student will work on state estimation, such as VIO and SLAM, and path planning algorithms from the robotic domain and make them suitable for the navigation of visually impaired people. A successful navigation system will be deployed during the 2024 edition of the Cybathlon Competition, https://cybathlon.ethz.ch/en. The project will be carried out at RPG in collaboration with the Autonomous System Lab, ETH Zurich.