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Riccardo Zamboni
Titolo
Citata da
Citata da
Anno
Adaptive and energy-efficient optimal control in CPGs through tegotae-based feedback
R Zamboni, D Owaki, M Hayashibe
Frontiers in Robotics and AI 8, 632804, 2021
52021
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning
R Zamboni, AM Metelli, M Restelli
Advances in Neural Information Processing Systems 36, 2024
2024
Energy Efficiency Analysis of the Tegotae Approach for Bio-inspired Hopping
R Zamboni, D Owaki, M Hayashibe
9ᵗʰ International Symposium on Adaptive Motion of Animals and Machines (AMAM …, 2019
2019
Introducing a proprio-ceptive feedback in the bio-inspired Tegotae control approach: enhanced learning and energy efficiency
R ZAMBONI
Politecnico di Milano, 2018
2018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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