PROPOSED PROJECTS

Projects: Proposed Previous
Computer Vision
Decision making under uncertainty on GPU

Decision making under uncertainty is exceptionally computationally demanding. Since the robot has to decide online the best action, a typical approach is to approximate the decisionmaking mechanism. In this project, we will harness the capabilities of the bleeding edge scientific language JULIA alongside NVIDIA CUDA to move computations to GPU.
By massive parallelization, we hope to solve the decision making problem precisely.

Contact information:

Andrey Zhitnikov (Tel. 0547658690) andreyz@campus.technion.ac.il
Assoc. Prof. Vadim Indelman, vadim.indelman@technion.ac.il

Supervisor(s): Andrey Zhitnikov, Dr. Andrej Kitanov, Assoc. Prof. Vadim Indelman
Requirements: Strong programming skills. CUDA preferably.
Autonomous Systems Navigation
Autonomous Navigation and Perception via Deep Learning

In this project we shall use deep learning for autonomous navigation and perception. Specific project objectives will be determined together with the student(s).

Supervisor(s): Asst. Prof. Vadim Indelman: vadim.indelman@technion.ac.il
Requirements: Strong programming skills (preferably Python or C++). Background in machine (deep) learning, computer vision, robotics is an advantage.
Robot Localization via Deep Learning

In this project we shall use deep learning for robot localization. Specific project objectives will be determined together with the student(s).

Supervisor(s): Asst. Prof. Vadim Indelman: vadim.indelman@technion.ac.il
Requirements: Strong programming skills (preferably Python or C++). Background in machine (deep) learning, computer vision, robotics is an advantage.