Vid2Param: Modelling of Dynamics Parameters from Video.
Published in IEEE Robotics and Automation Letters, 2019
Recommended citation: Asenov, M., Burke, M., Angelov, D., Davchev, T., Subr, K. and Ramamoorthy, S., 2019. Vid2param: Modeling of dynamics parameters from video. IEEE Robotics and Automation Letters, 5(2), pp.414-421. http://homepages.inf.ed.ac.uk/ksubr/Files/Papers/ICRA20Vid2Param.pdf
This work shows how models trained entirely in simulation, in an end-to-end manner can perform online system identification, and make probabilistic forward predictions of parameters of interest in the phyical world.