ICS 452: Software Design for Robotics

Description: Sensors, actuators, signal processing, paradigms of robotic software design, introduction to machine learning, introduction to computer vision, and robot-to-human interaction.

Objectives

• Students will have completed several programming assignments and will also have implemented a project so that they can acquire experience in software design for robotics.
• Students will understand basic hardware aspects of robotics and how programming is influences by robotic hardware issues.
• Students will understand the design principles and implement dataflow programming for robotics.
• Students will understand the programming issues of robotic programming for individual robots as well as multiple cooperating robots.
• Students will be proficient at programming both semi-autonomous and autonomous robotic systems.
• Students will learn to add robustness to their software to compensate for sensor and actuator problems.

Course Learning Outcomes: See objectives.

Program Learning Outcomes

• a. Students can apply knowledge of computing and mathematics appropriate to the discipline
• b. Students can analyze a problem, and identify and define the computing requirements appropriate to its solution
• c. Students can design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs
• g. Students can analyze the local and global impact of computing on individuals, organizations, and society
• i. Students can use current techniques, skills, and tools necessary for computing practice

Prerequisites: Two ICS 300-level courses or consent. Recommended: 312 and 313.

Textbook(s): Computational Principles of Mobile Robotics, 2nd Edition, Gregory Dudek & Michael Jenkin, Paperback, ISBN:9780521692120, July 2010

Grading: 3 homework assignments (30%) Final project (40%) Final exam (20%) Inclass participation (10%)

Schedule: Week 1: Introduction Weeks 2, 3 Robotics hardware Week 4, 5: Movement planning Week 6: Robust software Week 7: Signal processing algorithms Weeks 8, 9: Computer vision Weeks 10, 11: Machine learning Weeks 12-15: Advance robotics topics Week 16: Project presentations Week 17: Final exam