Seattle, Washington, United States
Enable the next generation of factory automation through State-of-the-Art vision algorithms: - Build a generalized tool to automate the calibration of camera agnostic robot systems in low tolerance manufacturing environments - Design and generalize a part detection and pose estimation solution for robotic pick-and-place tasks - Maintain ownership of products from the proof of concept phase through to product release and continuous deployment
Provide feature support for Microsoft AirSim, an open source simulator for autonomous ground and aerial vehicles. Design proof-of-concept demos and toolboxes for sim-to-real applications of reinforcement learning. Utilize machine learning techniques to build cutting-edge procedural generation tools for complex, lifelike environments. Work extensively with Unreal Engine and Unity Engine to maintain and extend core AirSim functionalities.
Develop techniques for deformation analysis of micro and macro structures using feature detection and classification techniques Build framework to convert raw LiDAR point clouds to segmented volumetric meshes capable of being analyzed via finite element methods for structural health monitoring
Lead 5-20 students in group sessions to foster critical thinking skills and independent learning. Collaborate with professors and faculty to provide helpful and relevant material to students. Conduct workshops for tutors to enhance their ability to cater to the needs of students.
Build an autonomous multi-robot system using bathymetry data as coordinate input for numerous applications. Apply machine vision techniques for object avoidance functionality. Work extensively in MATLAB, python, and C++ for modeling, simulation, and application of multi-robot system.