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pro vyhledávání: '"Mohammadi, Hadi"'
Autor:
Mohammadi, Hadi
The crystallization and melting behaviors of an ethylene/1-hexene copolymer and series of narrow molecular weight linear polyethylene and poly(ethylene oxide) fractions were studied using a combination of ultra-fast and conventional differential scan
Externí odkaz:
http://hdl.handle.net/10919/84921
Dexterous and autonomous robots should be capable of executing elaborated dynamical motions skillfully. Learning techniques may be leveraged to build models of such dynamic skills. To accomplish this, the learning model needs to encode a stable vecto
Externí odkaz:
http://arxiv.org/abs/2211.03169
In recent decades, advancements in motion learning have enabled robots to acquire new skills and adapt to unseen conditions in both structured and unstructured environments. In practice, motion learning methods capture relevant patterns and adjust th
Externí odkaz:
http://arxiv.org/abs/2203.07761
Publikováno v:
In Powder Technology 1 November 2024 447
Publikováno v:
In The Journal of Supercritical Fluids November 2024 213
Publikováno v:
In Journal of Biomechanics September 2024 174
Autor:
Safarzadeh Khosrowshahi, Mobin, Afshari Aghajari, Amirhossein, Rahimi, Mohammad, Maleki, Farid, Ghiyabi, Elahe, Rezanezhad, Armin, Bakhshi, Ali, Salari, Ehsan, Shayesteh, Hadi, Mohammadi, Hadi
Publikováno v:
In Materials Today Sustainability September 2024 27
Autor:
Beik-Mohammadi, Hadi, Kerzel, Matthias, Pleintinger, Benedikt, Hulin, Thomas, Reisich, Philipp, Schmidt, Annika, Pereira, Aaron, Wermter, Stefan, Lii, Neal Y.
Telerobotic systems must adapt to new environmental conditions and deal with high uncertainty caused by long-time delays. As one of the best alternatives to human-level intelligence, Reinforcement Learning (RL) may offer a solution to cope with these
Externí odkaz:
http://arxiv.org/abs/2107.00359
For robots to work alongside humans and perform in unstructured environments, they must learn new motion skills and adapt them to unseen situations on the fly. This demands learning models that capture relevant motion patterns, while offering enough
Externí odkaz:
http://arxiv.org/abs/2106.04315
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