Week

Day

Topic

Reading

Week 1

8/23-8/25

Mon

Intro, Course Overview, Assignment Explanation, Book Review,  Path, Start-Goal Mapping, Coverage, Completeness, Line of Sight, Some Notations

Chap 1

Wed

Bug 1, Bug 2, Tan Bug, Wall Follower

Chap 2, Chap D

Week 2

8/30-9/1

Mon

Configuration Space

Chap 3, Cspace generator

Wed

Potential Functions: Add/Rep, Distance, Gradient Descent, Potential Functions in Non-Euclidean spaces Wavefront Planner

Chap 4

Week 3

9/6-9/8

Mon

Labor Day – No class

 

Wed

Return to Configuration Space

(Some Manifold Theory)

Chap 3

Week 4

9/13-9/15

Mon

Navigation Functions, Harmonic Functions

Chap 4, Real-Time Obstacle Avoidance Using Harmonic Potential Functions Jin-Oh Kim and Pradeep K. Khosla, IEEE Transactions on Robotics and Automation, June 1992, Glenn Wagner

Wed

Graph Search, A*, Weighted A*

Chap H,

Week 5

9/20-9/22

Mon

Anytime & Incremental Search (ARA*/D* Lite/Anytime D*)

Chap H

Incremental A*, S. Koenig and M. Likhachev

ARA*: Anytime A* with Provable Bounds on Sub-Optimality Maxim Likhachev, Geoff Gordon, and Sebastian Thrun

Anytime Dynamic A*: An Anytime, Replanning Algorithm Maxim Likhachev, Dave Ferguson, Geoff Gordon, Anthony Stentz, and Sebastian Thrun

 

Wed

Real-time Search (Agent centered search including LRTA* and RTAA*)

Chap H

 

Real-Time Adaptive A* Sven Koenig and Maxim Likhachev

Week 6

9/27-9/29

Mon

Roadmaps: Visibility Graph, Retracts, Retract-like, Incremental Construction

Chap 5

Wed

Retracts in SE(2),

Chap 5

Week 7

10/4-10/6

Mon

Exact Cell Decomps: Trap, Boustrophedon (Coverage)

Chap 6

Wed

Voronoi Diagrams in higher dimensions Silhouette Methods

Chap 5 (reverse order)

Week 8

10/11-10/13

Mon

Numerical Potential Functions and simulated annealing

 

Numerical Potential Field Techniques for Robot Path Planning. J. Barraquand, B. Langlois, and J.C. Latombe. IEEE Transactions on Systems, Man, and Cybernetics, 22(2):224-241, 1992

 

Benn Morse

Wed

Discussion of coverage for painting cars, Cellular decompositions, baustohedrons

 

Chap 6

Week 9

10/18-10/20

Mon

Probablistic Roadmaps for path planning

 

Sample based methods: Potential functions, begin PRMS

Probabilistic Roadmaps for Path Planning in High-Dimensional Configuration Spaces. L.E. Kavraki, P. Svestka, J.C. Latombe, and M. Overmars. IEEE Transactions on Robotics and Automation, 12(4):566-580, 1996.

Analysis of Probabilistic Roadmaps for Path Planning. L.E. Kavraki, M. Kolountzakis, and J.C. Latombe. IEEE Tr. on Robotics and Automation, 14(1):166-171, Feb. 1998.

 

Yamuna

Wed

Lattice based approaches, Mikhail

Put a paper here

Week 10

10/25-10/27

Mon

RRT, RRG, RRT*

 

RRTs

Chap 7

 

Randomized Kinodynamic Planning Steve LaValle and James Kuffner (original RRT paper; IJRR (20): 5, 2001,

 

Incremental Sampling-based Algorithms for optimal motion planning

 

Laura Lindzey

Wed

Controls and Probability Primer

Intro to control theory

 

Week 11

11/1-11/3

Mon

Path Sets and Kalman Filtering

Ross’s WAFR paper

Chap 8

Wed

Kalman Filtering and Bayesian Methods

Chap 8

Week 12

11/8-11/10

Mon

Bayesian Methods

Chap 9

Wed

On Nonholonomic Mobile Robots and Optimal Maneuvering

 

Lagrangian Dynamics

Chap 10

 

Adapting probabilistic roadmaps to handle uncertain maps

 

Julian Rojas

Week 13

11/15-11/17

Mon

Controls and Path Planning

 

Lagrangian dynamics continued

Nonholonomic constraints

Chap 10

 

Maneuver-based motion planning for nonlinear systems with symmetries (Frazoli)

 

Jared

Wed

SLAM revisited

James Lee and Kartikeya Goyal: Estimating uncertain spatial relationships in robotics

 

Week 14

11/22-11/24

Mon

Controls and Path Planning

 

LQR-Trees: Feedback motion planning on sparse randomized trees, Russ Tedrake, Ian R. Manchester, Mark M. Tobenkin, and John W. Roberts. | International Journal of Robotics Research, 29:1038-1052, July 2010

 

JW

Wed

No class: Pre-Tday

 

Week 15

11/29-12/1

Mon

Non-holonomic constraints

 

Chap 12 (beginning)

 

On nonholonomic mobile robots and optimal maneuvering, Barraquand and Latombe

Justin Teems

Wed

Combined planning and control

 

Control with non-holonomic constraints

The Path-of-probability Algorithm for Steering and Feedback Control of Flexible Needles, Wooram Park, Yunfeng Wang, and Gregory S. Chirikjian   The International Journal of Robotics Research 2010;29 813-830

 

Ron Alterovitz, Michael Branicky, and Ken Goldberg, "Motion Planning Under Uncertainty for Image-Guided Medical Needle Steering," International Journal of Robotics Research, vol. 27, no. 11-12, pp. 1361-1374, Nov. 2008.

 

Needle Steering

 

Nate Wood: Needle steering

 

 

 

What is missing

  1. CHOMP
  2. Urban Challenge stuff
  3.