
Dr. Sam Siewert
Research Interests:
- Computer Vision
- Robotics and Machine Learning
- Sensor Fusion
CURE-E Course: Robotics & Machine Intelligence (CSCI 585), S. Siewert, Fall 2024
Project Title: Robotic navigation with passive and active sensors
Human – robot teaming has been researched by organizations such as AAAI (American Association for Artificial Intelligence) and is a research topic for graduate studies at many top research focused universities our students might go on to attend in the future. CSU Chico has a mechatronics, an industrial automation, and computer science majors in our college, but true human – robot tasking requires interdisciplinary teams of students from two or of these majors to take on an ambitious goal like demonstrating how human - robot teaming can solve a real-world problem. The huge challenge is broken down in this course into minimum, target, and optimal technology goals for robot navigation and interaction to achieve an autonomous or semi-autonomous task using ROS (Robot Operating System) and practices learned prior to the Exercise #5 proposal that includes a specific CURE-E human – robot teaming goal the student must state clearly and support with results. Given the constraints of six weeks to work on the CURE-E goal they are not expected to fully achieve the human – robot teaming goal (although that might be possible), but they all must show how demonstratable technology they develop can be used to achieve the CURE-E goal with more time and resources.
