Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments
By C. Ostafew, Angela P. Schoellig, T. Barfoot. 2014
67 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
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
- Pieter Abbeel
- Sergey Levine
- Sachin Patil
- Christopher Xie
- Teodor Mihai Moldovan
- Chelsea Finn
- Vikash Kumar
- Igor Mordatch
In Computer Vision and Pattern Recognition
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Luc Van Gool
- Trevor Darrell
- Jitendra Malik
- Dacheng Tao
- Abhinav Kumar Gupta
In Control and Systems Engineering
- Sergey Levine
- Pieter Abbeel
- Chelsea Finn
- Vikash Kumar
- Abhishek Gupta
- Jitendra Malik
- Sachin Patil
- Christopher Xie
Citations in the corpus
- Model-based reinforcement learning with parametrized physical models and optimism-driven exploration (2015, background): “However, an interesting avenue for future work would be to combine our linear models with more expressive statistical models that can account for unmodeled effects, similar to prior work on autonomous vehicle control [2], [24].”