Showing 2023 · cs.ROShow all
2 papers · 2 filters
cs.RO2023
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning
Tianle Huang, Nitish Sontakke, K. Niranjan Kumar +4
Domain randomization (DR), which entails training a policy with randomized dynamics, has proven to be a simple yet effective algorithm for reducing the gap between simulation and t…
cs.RO2023
Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement
K. Niranjan Kumar, Irfan Essa, Sehoon Ha
Humanoid robots are well suited for human habitats due to their morphological similarity, but developing controllers for them is a challenging task that involves multiple sub-probl…