3 accepted papers
Simulators are a critical component of modern robotics research. Strategies for both perception and decision making can be studied in simulation first, before deployed to real world systems, saving on time and costs. Despite significant progress on the development of sim-to-real algorithms, the anal
As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible. Compared to other sciences, there are specific challenges to benchmarking autonomy, such as the complexity of the software stacks, the variability of the hardware and the rel…
Domain randomization is a popular technique for improving domain transfer, often used in a zero-shot setting when the target domain is unknown or cannot easily be used for training. In this work, we empirically examine the effects of domain randomization on agent generalization. Our experiments show