Human-robot interaction on social intentional stance

• Main Author: Koh, Shawn Jun Jie
• Other Authors: Lin Zhiping
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Human robot interaction; Jerk; Path planning; Obstacle avoidance; Obstacle detection
• Online Access: https://hdl.handle.net/10356/176791
• Institution: Nanyang Technological University

In the 21st century, the visually impaired (VI) have many assistive technologies to assist them in the basics of daily life, such as motion. One such form is the smart robot which can assist VI in getting from one point to another, like how a driverless car function. The difference between a smart robot and a driverless car, is that in the former, the user is exposed to the environment, which can result in different forms of physical or ergonomical damage towards the user. This is exacerbated by their slower reaction time due to lack of visual cues. This project aims to develop a solution to manage the poor motion control problem through the usage of existing local path planning algorithm which has been implemented into the test robot. By doing this, the idea is to reduce the amount of jerky response by the robot while being in a dynamic environment. Using the original algorithm as a benchmark, a modified algorithm will be created and tested against it. Participants will test both algorithms and grade it based on their personal comfort level throughout the test. By benchmarking the new algorithm to the original, the results can determine if the new algorithm is subjectively better than the original.