Work on Edge AI algorithms to make driving safer

Mobile Robot Team

work at LL4MA lab

• Grasp the object by using Gaussian Process Implicit Surface Model and trajectory planning through optimization.

• Reconstruct the object model while moving the object to the goal position.

• Reconstruct the object through dense SLAM method.

• Object transition trajectory planning using Gaussian Mixture Model to explore the object unseen part as fast as possible.

• Submitted to Robotics and Automation Letters(RAL).

• developed authorization program to control the access permission of more than 200 software engineers for SVN code repository by using Java

• developed user microservices for Air Sensor Tracking System in Java Spring

• Design printed circuit boards for modules that measure low current signals and digital signals and a special module for measuring 800 Volt and an automatic calibration system for analog modules.

• Run simulations for reading signals by using P-spice models in Cadence Orcad

• Run electromagnetic compatibility experiment and environment experiment.