CS 689: Planning Motions of Robots and Molecules
Course Information from University Catalog
Covers topics from artificial intelligence, algorithms and databases. Presents algorithms that model and simulate physical and biological systems and focuses on motion-planning algorithms for robotic systems in the presence of obstacles. Simple deterministic and sampling-based approaches to motion planning will be covered, as well as advanced planning methods including planning with kinematics and dynamic constraints. Selected topics include sensor-based motion planning, manipulation planning, assembly planning, planning under uncertainty and robotics-inspired methods to compute functionally-relevant motions of molecular chains.
Hours of Lecture or Seminar per week: 3
1 Course Sections Scheduled for Spring 2018
CS 689 - 001: |
M; 4:30 pm - 7:10 pm