Linear algebra, Probability and Statistics, Multi-variable calculus.
The teaching methodology focuses on tutoring the student to better adjust his research techniques in the field of his work. The student presents the results of the work by seminars as reports on the activities.
Besides the reference bibliography, conference and journal articles spanning a range of robotic tasks, and visual algorithms will be used. Each student will submit short written analyses of one/two papers and get feedback.
The purpose of this course is to provide an introduction to some more recent models and algorithms for mobile robotic tasks and improvement of their autonomy. This will involve acquiring knowledge on the current state of the art in the field of autonomous robotics and its techniques and development methodologies.
Introduction to Autonomous Robotic Systems. Historical perspective and recent developments in autonomous systems. Models and kinematics. Sensors and Vision Systems. Determination of position. Estimation and Combining Sensor Information. Simulation, Case Studies and Future prospects.
João Filipe de Castro Cardoso Ferreira
Research work: 50.0%
Synthesis work: 50.0%
H.R. Everet, Sensors for Mobile Robots -Theory and Applications, A.K. Peters, ISBN 1-56881-048-2, 1995 (Chap 1)
Phillip John McKerrow, Introduction to Robotics (Electronic Systems Engineering Series), May 1991, Addison-Wesley Pub Co., ISBN: 0201182408, (Chap 1,2)
Ronald C. Arkin, Behavior Based Robotics, MIT Press, ISBN 0-262-01165-4, 1998 (Chap 1)
Jack B. Kuippers, Quaternions and Rotation Sequences, 1999, Princeton University Press, ISBN: 0-691-05872-5 (Chap 4,5, 7 e 11)
Richard M. Murray, Zexiang Li, S. S.Shankar Sastry, A Mathematical Introduction to Robotic Manipulation, 1994, CRC Press, ISBN: 0-8493-7982-4 (Chap 2 e 3)
George A. Bekey, Autonomous Robots - From Biological Inspiration to Implementation and Control, MIT press, 2005, ISBN: 9780262025782.