Difference between revisions of "Robotics"
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* There was a small problem in the model provided for the second part of the project. You can fix it by changing a line in `willy3/model.sdf`, i.e., you need to change line `133` from `<publishTf>false</publishTf>` to `<publishTf>true</publishTf>, then everything should work. You can download [[Media:willy3_and_hokuyo_fixed.tgz| the fixed model here!]] | * There was a small problem in the model provided for the second part of the project. You can fix it by changing a line in `willy3/model.sdf`, i.e., you need to change line `133` from `<publishTf>false</publishTf>` to `<publishTf>true</publishTf>, then everything should work. You can download [[Media:willy3_and_hokuyo_fixed.tgz| the fixed model here!]] | ||
* You might encounter troubles in building the full map with gmapping, thus not to have you shuck on that we provide here the perfect map of the environment in case you want to skip the gmapping part and move on with the navigation one. Needless to say that to have the full mark you have to provide also a map you have generated with gmapping, but you can develop the rest of the exercise on this map and get the score for that. You can download [[Media:willogarage_perfect.tgz| the perfect willowgarage map here!]] | * You might encounter troubles in building the full map with gmapping, thus not to have you shuck on that we provide here the perfect map of the environment in case you want to skip the gmapping part and move on with the navigation one. Needless to say that to have the full mark you have to provide also a map you have generated with gmapping, but you can develop the rest of the exercise on this map and get the score for that. You can download [[Media:willogarage_perfect.tgz| the perfect willowgarage map here!]] | ||
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Some useful fatcs: | Some useful fatcs: | ||
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* Some data might be missing, some data might be useless, do not hesitate to write us by email! | * Some data might be missing, some data might be useless, do not hesitate to write us by email! | ||
* We have not decided yet how much each part is worth, we will decide depending on the overall distribution of results in the class to harmonize the overall score and compensate for different level of difficulty among the years. | * We have not decided yet how much each part is worth, we will decide depending on the overall distribution of results in the class to harmonize the overall score and compensate for different level of difficulty among the years. | ||
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Delivery procedure: | Delivery procedure: | ||
* The project should be delivered by email as single compressed file '''''both''''' to Matteo Matteucci && Gianluca Bardaro. | * The project should be delivered by email as single compressed file '''''both''''' to Matteo Matteucci && Gianluca Bardaro. | ||
Revision as of 01:12, 25 February 2019
The following are last minute news you should be aware of ;-)
25/02/2019: Here it comes a new edition of the course!
Contents
Course Aim & Organization
This course will introduce basic concepts and techniques used within the field of autonomous mobile robotics. We analyze the fundamental challenges for autonomous intelligent systems when these move on wheels or legs and present the state of the art solutions currently employed in mobile robots and autonomous vehicles.
Teachers
The course is composed by a blending of lectures and exercises by the course teacher and a teaching assistant.
- Matteo Matteucci: the course teacher
- Simone Mentasti: the teaching assistant
Course Program
Lectures will provide theoretical background and real world examples. Lectures will be complemented with practical exercises in simulation for all the proposed topics and the students will be guided in developing the algorithms to control an autonomous robot.
Among other topics, we will discuss:
- Mobile robots kinematics,
- Sensors and perception,
- Robot localization and map building,
- Simultaneour Localization and Mapping (SLAM),
- Path planning and collision avoidance,
Detailed course schedule
A detailed schedule of the course can be found here; topics are just indicative while days and teachers are correct up to some last minute change (I will notify you by email). Please note that not all days we have lectures!!
Note: Lecture timetable interpretation * On Monday, in 5.0.1, starts at 16:15, ends at 18:15 * On Wednesday, in 5.03, starts at 12:15, ends at 14:15
| Date | Day | Time | Room | Teacher | Topic |
| 25/02/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Course Introduction |
| 27/02/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Robot Sensors and Actuators |
| 04/03/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Robot Sensors and Actuators |
| 06/03/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Robot Sensors and Actuators |
| 11/03/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Robot Kinematics |
| 13/03/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Robot Kinematics |
| 18/03/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Robot Kinematics |
| 20/03/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Simone Mentasti | Middleware for robotics and ROS Installation Party |
| 25/03/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Simone Mentasti | Ros workspace, Publisher/subscriber, launch file |
| 27/03/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Simone Mentasti | Messages, services, parameters |
| 01/04/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Simone Mentasti | Bags, tb, actionlib, rqt_tools |
| 03/04/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Simone Mentasti | Message filters, rospy. First project presentation |
| 08/04/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Robot Localization |
| 10/04/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Robot Localization |
| 15/04/2019 | Monday | 16:15 - 18:15 | --- | --- | -- No Lecture -- |
| 17/04/2019 | Wednesday | 12:15 - 14:15 | --- | --- | -- No Lecture -- |
| 22/04/2019 | Monday | 16:15 - 18:15 | --- | --- | -- No Lecture -- |
| 24/04/2019 | Wednesday | 12:15 - 14:15 | --- | --- | -- No Lecture -- |
| 29/04/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Robot Mapping |
| 01/05/2019 | Wednesday | 12:15 - 14:15 | --- | --- | -- No Lecture -- |
| 06/05/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Simone Mentasti | ROS on multiple machines, time syncronization, stage |
| 08/05/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Simone Mentasti | Robot Navigation (Part I) |
| 13/05/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Simultaneous Localization and Mapping |
| 15/05/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Simultaneous Localization and Mapping |
| 20/05/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Simone Mentasti | Robot Navigation (Part II) |
| 22/05/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Simone Mentasti | Nodlet, openCV-CV-bridge |
| 27/05/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Simone Mentasti | Point Cloud Library. Second project presentation. |
| 29/05/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Robot Navigation Algorithms |
| 03/06/2019 | Monday | 16:15 - 18:15 | 5.0.1 | Matteo Matteucci | Robot Navigation Algorithms |
| 05/06/2019 | Wednesday | 12:15 - 14:15 | 5.03 | Matteo Matteucci | Robot Navigation Algorithms |
Course Evaluation
Course evaluation is composed by two parts:
- A written examination covering the whole program graded up to 27/32
- A home project in simulation practicing the topics of the course graded up to 5/32
The final score will sum the grade of the written exam and the grade of the home project.
In some (exceptional) cases the home project could be substituted with a lab project, possibly with a slightly higher grade, but this has to be motivated and discussed with the teacher.
Course Project
In the course project you will use ROS to develop a simple autonomous mobile robot performing a simple mapping, localization and navigation task. The project requires some coding either in C++ / Python following what will be presented during the lectures. The project will be presented in two parts you have about one month to do each. Details will follow.
Teaching Material (the textbook)
Lectures will be based on material from different sources, teachers will provide their slides to students as soon they are available.
Course Slides
Slides from the lectures by Matteo Matteucci
- TBC
Slides from the lectures by Simone Mentasti as well as examples can be found at this link, for your convenience we publish here the PDF of the lectures, but check the previous link for coding examples:
- TBC
Course Project
Yet to come!
Past Years Useful Material
Here you find material from past editions of the course that you umight find useful in preparing the exam.
Past Exams and Sample Questions
Since the 2015/2016 Academic Year the course has changed the teacher and this has changed significantly the program and the exam format as well. For this reason we do not have many past exams to share with you, they will accumulate along the years tho.
- Exam of 17/07/2017
- Exam of 01/07/2017
- Exam of 26/09/2016
- Exam of 05/09/2016
- Exam of 20/07/2016
- Exam of 27/06/2016
Past Course Project
Here you find past course projects in case you are interested in checking what your colleagues have been pass through before you. In some cases they may have been more lucky in some others you might be the lucky one ... that's life! ;-)
Homework 2016/2017
The 2016/2017 course project is divided in two releases to provide you something to work on as early as possible during the course. The homework philosophy should be "You have to struggle, but not too much!". Indeed the homework is made to challenge you and make you exercising and learn by doing, nevertheless if you find yourself stuck please write us and we will give you the required hints to continue and complete.
Advice: Start as soon as possible doing the homework!
Homework
- 2016/2017 Course Project Part A v1.1: due on Wednesday 31/05/2017 (6 weeks from now), this is the first part of the 2016/2017 course project.
- 2016/2017 Course Project Part B v1.0: due on Wednesday 28/07/2017 (6 weeks from now), this is the second part of the 2016/2017 course project.
- 2016/2017 Model for Course Project part B v1.0: thi si the gazebo model to be used in exercise 4 in the second part of 2016/2017 course project.
Homework 2015/2016
This year project is divided in steps; each of them is worth some points out of the 5/32 points available for the final mark. You find the project description here, it is complete, it contains parts up to 4, parts 5 is optional, but we suggest to do it anyway since it requires a limited amount of time.:
- 2015/2016 Course Project v1.0
- 2015/2016 Kobra STL files: in case you want to make your simulation look more real here you find the STL files of the Kobra robot in the "Safer" version. Unfortunately the STL files are scaled down with respect to the real robot, so you have to modify those if you want to use.
Additional Resources
If you are interested in a more deep treatment of the topics presented by the teachers you can refer to the following books and papers:
- Probabilistic Robotics by Dieter Fox, Sebastian Thrun, and Wolfram Burgard.
The following are links to online sources which might be useful to complement the material above
- ISO 8373:2012: ISO Standard "Robots and robotic devices -- Vocabulary"
- ROS: the Robot Operating System
- Gazebo: the Gazebo robot simulator
- AIRLab ROS Howto: a gentle introduction to ROS with node template and program examples
