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In order to understand insights into human stance postural control mechanism, generation of biped stance motion in consideration of both muscles and neurological time delay is important. In this paper, we proposed a neural controller composed by feed-forward and feedback control to keep a musculoskeletal model with 70 muscles standing when neurological time delay is 100 ms. Through the optimization,...
We propose a topic model to better estimate activities from tweets. The whole estimation process consists of two phases: one is the cluster generation, and the other is the activity estimation. At the first phase, we obtain the expected trilayer clusters with the components: a topic layer, an activity layer and a word layer. Then, at the second phase, we utilize the activity-specific word distribution...
In the application of multi-robot system for a pick-and-place task, the appropriate robot arms and their base positions should be rapidly selected to improve the productivity, reduce the purchase cost, and apply the system for a task quickly. However, in current factories, a large amount of computational time is required to select the appropriate robot arms and their base positions because they are...
We propose a method for reducing the computational time of motion planning for stacker cranes. Most automated storage/retrieval systems are only equipped with one stacker crane. However, this is logistically challenging, and higher work efficiency in warehouses, such as those using two stacker cranes, is required. In this paper, a warehouse with two stacker cranes working simultaneously is proposed...
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