Pedestrian Avoidance for Indoor RobotsPublic
Downloadable Contentopen in viewer
The goal of this project is to design and implement a pedestrian detection and avoidance solution for indoor robots. The team utilized a TurtleBot robot running ROS, with onboard sensors of RealSense Camera and Velodyne Lidar. The robot system is able to maneuver autonomously in an indoor environment, recognizing pedestrians and automatically generating new routes to avoid the moving pedestrians. The team conducted a number of experiments to evaluate the functionality and reliability of the prototype system. The project will create a safer environment for human robot interactions.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Date created
- Resource type
- Rights statement
- In Collection:
Permanent link to this page: https://digital.wpi.edu/show/3484zk77q