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In this talk, I will discuss how principles of optimal control, learning, and model-based reasoning can be used to generate and explain a broad range of human movement behaviors, from locomotion to dexterous manipulation, applicable both in simulation and on physical robot platforms.
We do research in natural legged creatures and then model them both in simulation and in real robots.
We implemented and thoroughly tested our system both in simulation and on a real mobile robot.
The results have been obtained both in simulation and using real robots.
Experimentation has been successfully conducted both in simulation and using a NOMAD-200 mobile robot.
The entire system is integrated and implemented both in simulation and in an experimental testbed.
Similar(19)
While not the most rigorous approach, this retrieval method can be applied quickly both in simulations and measurements, and with minimal resources.
The complete circuit has been both modelled in simulation and built experimentally.
Tests have been performed both in simulations and in a real Lego robot.
The various design strategies are discussed and compared both in simulations and experiments.
We evaluate our approach in extensive experiments carried out both in simulations and with real robots.
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