Modular Hopping and Running via Parallel Composition

By Avik De. 2017

14 citations recorded by the source corpus.

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Sim-to-Real: Learning Agile Locomotion For Quadruped Robots (2018, methodology): “se it is difﬁcult to control an under-actuated robot performing highly dynamic motion that involve intricate balance. Classical approaches often require extensive experience and tedious manual tuning [38, 8]. Can we automate this process? Recently, we have seen tremendous progress in deep reinforcem”
Learning to Walk in the Real World with Minimal Human Effort (2020, methodology): “We test our framework on Minitaur, a quadruped robot [21] (Figure 5, Left), which is approximately 7 kg with 0.”
How to train your robot with deep reinforcement learning: lessons we have learned (2021, methodology): “In this case study, we apply deep RL techniques on the Minitaur robot (Figure 5), a mechanically simple and low cost quadruped platform (De 2017).”