Mobile Robotics: Publications
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[1]
3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations
Zhihua Wang‚ Stefano Rosa‚ Bo Yang‚ Sen Wang‚ Niki Trigoni and Andrew Markham
In 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence IJCAI−ECAI. 2018.
Details about 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | BibTeX data for 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | Download (pdf) of 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations
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[2]
DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks
S. Wang‚ R. Clark‚ H. Wen and N. Trigoni
In International Conference on Robotics and Automation. 2017.
Details about DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks | BibTeX data for DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks | Download (pdf) of DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks
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[3]
VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem
R. Clark‚ S. Wang‚ H. Wen‚ A. Markham and N. Trigoni
In AAAI Conference on Artificial Intelligence (AAAI). 2017.
Details about VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem | BibTeX data for VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem | Download (pdf) of VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem