Presenter(s)

Brandon M Hampshire

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Description

All robotic navigation requires an awareness of surrounding environment to avoid potential collisions. To help aid the navigation of the Robust Artificial Intelligence-based Defense Electro Robot (RAIDER), we employ the use of a three-dimensional depth sensor (Xbox Kinect) to detect obstacles present in the path of the robot. The depth map created from the Kinect sensor provides necessary information to the obstacle locations. Navigation commands are then computed based on these locations to allow the robot to slow when approaching the obstacles and turn away from the obstacles. Communication is established with the robot using a wireless local area network and processing of Kinect is done on an off-board computer. This allows navigation processing requirements to be communicated to the robot remotely for communication and interaction with other robots and sensors.

Publication Date

4-9-2016

Project Designation

Independent Research

Primary Advisor

Vijayan K. Asari

Primary Advisor's Department

Electrical and Computer Engineering

Keywords

Stander Symposium project

Depth Perception for Obstacle Avoidance using Robust Artificial Intelligence-based Defense Electro Robot (RAIDER)

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