Leveraging multiple simulators for crossing the reality gap
By Adrian Boeing, Thomas Bräunl. 2012
46 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Control and Systems Engineering, Management Science and Operations Research
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 Control and Systems Engineering
- Jie Tan
- Sergey Levine
- Jitendra Malik
- Deepak Pathak
- Ernest Davis
- Erwin Coumans
- Steven Bohez
- Gary F. Marcus
In Management Science and Operations Research
- Jitendra Malik
- Jie Tan
- Gary F. Marcus
- Ashish Kumar
- Vincent Vanhoucke
- Tingnan Zhang
- Danijar Hafner
- Deepak Pathak
Citations in the corpus
- Sim-to-Real: Learning Agile Locomotion For Quadruped Robots (2018, methodology): “A robust controller can be learned by injecting noise to the simulation [19], adding perturbations to the simulated robot [37], leveraging multiple simulators [3], using domain randomization [48] and dynamics randomization [29, 40, 34].”
- RMA: Rapid Motor Adaptation for Legged Robots (2021, background): “However, such policies are difficult to transfer to the real world [30, 38, 6].”
- The scope and limits of simulation in automated reasoning (2016, background): “3, from [5] shows the paths calculated by three different physics”