Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Team B F24 Entry: External Pose Estimation with OptiTrack Motion Capture #178

Open
wants to merge 1 commit into
base: master
Choose a base branch
from

Conversation

kavin-cmu
Copy link

This guide walks you through the complete setup and use of the OptiTrack Motion Capture system for external pose estimation of a robot. Starting with a calibrated motion capture setup, the guide details the process of affixing IR reflective markers on the robot, ensuring their optimal placement for accurate tracking. It further describes how to configure the Motive software to recognize the robot as a unique entity within the system. Essential processes covered include the streaming of the robot's pose over the network using the NaturalNetwork pipeline, and how to integrate this data into ROS-centric applications using the natnet_ros_cpp package. By following these instructions, you can effectively utilize the OptiTrack system for precise motion tracking and pose estimation to enhance robotics applications in environments where GPS is not viable.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant