• You are required to read one or two research papers with your group members and present them in the class. In the beginning of the semester, research papers will be selected based on students' interests and relevance to the course topics. You learn general ideas and fundamental details of the week's topic and will present corresponding papers in the following week. (see below or Syllabus)
• Not your work
• Not your officemate's work
• Maybe a CMU research
• Wes Huang's How To Read a Research Paper
• Grading Sheet (Speaker brings enough copies to class)
• Students' interests

Laura Lindzey:
RRT*

Yamuna:
measure theoretic analysis of probabilistic path planning
Analysis of probabilistic roadmaps for path planning
Probabilistic Roadmaps for Path Planning in High-Dimensional Configuration Spaces

Ben Morse:
Numerical Potential Field Techniques for Robot Path Planning.
Obstacle avoidance for mobile robots using artifical potential field approach with simulated annealing
A random sampling scheme for path planning

Jared:
Maneuver-based motion planning for nonlinear systems with symmetries

Justin:
On nonholonomic mobile robots and optimal maneuvering

Julian Rojas:
Adapting probabilistic roadmaps to handle uncertain maps

J.W.:
LQR-Trees: Feedback motion planning on sparse randomized trees

CheongKin:
Nonholonomic Motion Planning for Mobile Manipulators

James Lee and Kartikeya Goyal:
Estimating Uncertain Spatial Relationships in Robotics