Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Domain Randomization"”.
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Deep Reinforcement Learning for Multirotor Flight Control: A Comparative Study of Sim-to-Real Training and Real-World Performance
… ablation studies evaluated the effects of domain randomization, reward weighting, observation representation, and neural network architecture. Policies were trained in a MuJoCo-based simulator and deployed via TensorFlow Lite Micro inference on PX4 flight controllers. Domain randomization …
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Deploying Reinforcement Learning in the Real World: A Case Study on Apptronik Apollo
… to bridging the sim-to-real gap, leveraging domain randomization and careful choices in control architecture in order to successfully deploy RL policies for teleoperation in simulation and on hardware.
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Learning Legged Locomotion by Physics-based Initialization: Motion Imitation from Model-Based Optimal Control
… it is trained with simulated sensor noise and domain randomization, MIMOC is less sensitive to modeling and state estimation inaccuracies. We validate MIMOC on the Mini-Cheetah in outdoor environments over a wide variety of challenging terrain and on the MIT Humanoid in simulation. We show that …
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Scalable and Generalizable Robot Learning: from Simulated to Real-World Applications
L'abstract è presente nell'allegato / the abstract is in the attachment