Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots
By Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, J. Urgen Schmidhuber. 2013
9 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Reinforcement Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computer Vision and Pattern Recognition
- Pieter Abbeel
- Jitendra Malik
- Trevor Darrell
- Luc Van Gool
- Sergey Levine
- Kristen Grauman
- Dacheng Tao
- Abhinav Kumar Gupta
In Reinforcement Learning
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Wojciech Zaremba
- Vikash Kumar
- Shixiang Shane Gu
- Ofir Nachum
- Joshua Tobin
Citations in the corpus
- Domain randomization for transferring deep neural networks from simulation to the real world (2017, background): “Neural network-based perception has also been explored [25], but collecting a large enough training set can be challenging.”