Computer Science @ University of St Andrews

University of St Andrews crest

Dr Mike Weir

Dr Mike Weir

Position: Lecturer

Research profile

Email: mkw@st-andrews.ac.uk

Office: JC1.25 - Jack Cole Building, North Haugh

Phone: +44 (0)1334 46 3255

Home page: http://mkw.host.cs.st-andrews.ac.uk

Recent Publications

High Quality Goal Connection For Nonholonomic Obstacle Navigation Allowing For Drift Using Dynamic Potential Fields

Weir, MK & Bott, MP 2010, ' High Quality Goal Connection For Nonholonomic Obstacle Navigation Allowing For Drift Using Dynamic Potential Fields '. in 2010 IEEE International Conference on Robotics and Automation (ICRA). IEEE, pp. 3221-3226, 2010 IEEE International Conference on Robotics and Automation, ICRA 2010, Anchorage, United States, 3-7 May.

Enabling nonholonomic smoothness generically allowing for unpredictable drift

Weir, MK , Lewis, JP & Bott, MP 2008, ' Enabling nonholonomic smoothness generically allowing for unpredictable drift '. in 10th International Conference on Control, Automation, Robotics and Vision, 2008. ICARCV 2008. IEEE, pp. 2072-2077, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Hanoi, Vietnam, 17-20 December.

POTBUG: A mind's eye approach to providing BUG-like guarantees for adaptive obstacle navigation using dynamic potential fields

Weir, M , Buck, A & Lewis, J 2006, ' POTBUG: A mind's eye approach to providing BUG-like guarantees for adaptive obstacle navigation using dynamic potential fields '. in S Nolfi, G Baldassarre, R Calabretta, JCT Hallam, D Marocco, JA Meyer, O Miglino & O Parisi (eds), From Animals to Animats 9: 9th International Conference on Simulation of Adaptive Behaviour. Lecture Notes in Computer Science, vol. 4095, Springer-Verlag, pp. 239-250, 9th International Conference on Simulation of Adaptive Behaviour, SAB 2006, Rome, Italy, 25-29 September.

Agent Navigation Using Potential Fields and Forward Chaining

Forward Chaining for Robot and Agent Navigation using Potential Fields

An Approach to Guaranteeing Generalisation in Neural Networks

Weir, MK & Polhill, JG 2001, ' An Approach to Guaranteeing Generalisation in Neural Networks ' Neural Networks , vol 14, no. 8, pp. 1035-1048.

Neural Steering: Difficult and Impossible Sequential Problems for Gradient Descent

Using Tangent Hyperplanes to Direct Neural Training

Weir, MK , Lewis, JP, Milligan, G, Bothe, H & Rojas, R 2000, ' Using Tangent Hyperplanes to Direct Neural Training '.

Improving Generalisation Using Neural Bi-Directional Convergence

Subgoal Chaining and the Local Minimum Problem