Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Autonomous underwater vehicles Engineering & Materials Science
Wheelchairs Engineering & Materials Science
Observability Engineering & Materials Science
Extended Kalman filters Engineering & Materials Science
Robots Engineering & Materials Science
Robotics Engineering & Materials Science
Fish Engineering & Materials Science
Sensors Engineering & Materials Science

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

Wang, Z., Rosa, S., Yang, B., Wang, S., Trigoni, N. & Markham, A. 2018 Proceedings of the 27th International Joint Conference on Artificial Intelligence.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

Wang, Z., Rosa, S., Xie, L., Yang, B., Wang, S., Trigoni, N. & Markham, A. 15 Jan 2018 (Accepted/In press) 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

End-to-End, Sequence-to-Sequence Probabilistic Visual Odometry through Deep Neural Networks

Wang, S., Clark, R., Wen, H. & Trigoni, N. 1 Apr 2018 In : International Journal of Robotics Research. 37, 4-5, p. 513-542 30 p.

Research output: Contribution to journalArticle

Open Access
File
Neural networks
Recurrent neural networks
Computer vision
Robotics
Pipelines

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning

Xie, L., Wang, S., Rosa, S., Markham, A. & Trigoni, N. 15 Jan 2018 (Accepted/In press) 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors

Sheeny, M., Wallace, A., Emambakhsh, M., Wang, S. & Connor, B. 26 Mar 2018 (Accepted/In press) 14th IEEE Workshop on Perception Beyond the Visible Spectrum in conjunction with CVPR 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution