Course Schedule - Fall Semester 2024

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
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COMP 461 001 (CRN: 17153)

SR DESIGN IN ROBOTIZED WORLD

Long Title: SENIOR DESIGN IN A ROBOTIZED WORLD
Department: Computer Science
Instructor: Hang, Kaiyu
Meeting: 4:00PM - 5:15PM MW (26-AUG-2024 - 6-DEC-2024) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: COMP 318
Section Max Enrollment: 30
Section Enrolled: 5
Enrollment data as of: 1-JUN-2024 5:45PM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
 
Description: Robots are now a wide spectrum of various embodiments, e.g., humanoids, dogs, industrial arms, drones, and self-driving cars, and they are rapidly merging themselves into our society. While we are not fully ready to welcome them, yet, we are more than certain that we need to work with them in ways that we did not know before. On the one hand, we are still challenged by many technical problems to enable robots to be more dexterous and robust. On another hand, in a time where resources are connected and networked, we need to design novel systems to manage different robots, share the robots, or even make them autonomously and adaptively build teams. In this senior design course, we will develop team-based projects and will look into a robotized future with our imaginations: we will either solve problems that are technically going to enhance the robot skills, or address problems that will make future robots more useful and more organized in the real world. Background in robotics is not required. In our creative projects, your efforts in developing core robot algorithms, databases, machine learning systems, web applications, mobile apps, LLM models, or anything else that can be useful, will together make this robotized world a better place.