… simulations in Pybullet [21]. We evaluate our method by querying them with randomly sampled
terrains and simulating … of the generated designs in simulation. We conducted all training …

… use of powerful generative encodings, here we investigate how a generative encoding and
… in modular robots when the number of robotic modules changes. Simulating less modules …

… Simulation is a crucial component of any robotic system. In … In this paper, we aim to learn
a simulator by simply watching … We introduce GameGAN, a generative model that learns to …

… to navigate a robot for engaging a group of people. Claudio et al. [17] simulate approaching
… that may impact robot behaviors, such as human orientations and robot approach distances. …

… At the imitation learning stage in simulation, we have compared the proposed VQ-PMC
method with β-VAE based motor controllers. At the current stage, we continue to investigate the …

… Imitation Learning (GAIL), have been proposed to learn … (VR) integrated robot control
approach to control robots for long-… Our study was implemented purely in simulation, assuming …

… The data (from distance and color sensors, and actuator) collected from the robot simulator
are used to train and test reservoir networks in a Matlab environment using the RCToolbox1 […

… the simulation-toreality gap in the robotic soccer environment using generative neural networks
to transform simulated … When training and testing machine learning models with images …

… world robot learning using generalization through simulation. … and simulation can serve
complementary functions for robot … [9] generative model is trained on the simulated image data. …

… In this paper, we introduce a methodology to design robot-oriented generative learning
objects (GLOs) that are, in fact, heterogeneous meta-programs to teach computer science (CS) …