ACS6334 Mobile Robotics and Autonomous Vehicles
Recent research is finally leading to real advances in applications of mobile robotics and autonomous vehicles. The DARPA Grand Challenges have demonstrated the potential for fully autonomous road vehicles leading to major car companies undertaking trials of driverless cars. Unmanned aerial vehicles are routinely being deployed for a variety of applications including natural disaster search and rescue. The Curiosity rover is exploring the surface of Mars and unmanned underwater vehicles can navigate whole oceans. The technological challenges of developing such autonomous systems are varied and complex. This module introduces the concepts of autonomous vehicles and mobile robotics focussing on the control and systems engineering issues related to autonomous operation. The module covers basic concepts in robot architectures, kinematic and dynamic modelling, control and decision making. Topics such as path planning, navigation, obstacle avoidance, simultaneous localisation and mapping (SLAM), sensors, state estimation and agent methods will be covered. Applications and techniques associated with single, co‐operative and swarming robotics will be covered with case studies demonstrating real world applications of the techniques and algorithms.
Credits: 10 (Spring semester)
Dr Roderich Gross
If you have any questions about the module please talk to me during the lectures or the labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask questions.
Outside of lectures please contact me via email.
By the end of the module students will:
This module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.
Learning and Teaching Methods
Lectures: 16 hours
Learning and Teaching Materials
All teaching materials will be available via MOLE.
The module is assessed through:
2 sets of questionnaires: one after lecture 8 and one after lecture 16 will be assessed with feedback. Verbal feedback will be provided during 4 tutorials.
Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of the module.