Dr. Sam Siewert

Email: sbsiewert@csuchico.edu
Website: https://sites.google.com/mail.csuchico.edu/sbsiewert/home

Research Interests:

Computer Vision
Robotics and Machine Learning
Sensor Fusion

CURE-E Course: Robotics & Machine Intelligence (CSCI 585), S. Siewert, first introduced 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 top research focused universities our students might go on to attend in the future. CSU Chico has mechatronics, industrial automation, and computer science majors in our college, but true human – robot tasking requires interdisciplinary teams of students from two or more 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 their team project 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 all aspects of their human – robot teaming goal, but they all must show how demonstratable technology they develop can be used to achieve the CURE-E goal with more time and resources.