By Jiang M.
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Extra info for A 2-approximation for the preceding-and-crossing structured 2-interval pattern problem
Borovac, and M. e. at joints 7, 9, 13, 15, 28 and 30. Also, compensation obtained for joints of the leg in support phase was applied at joints of the leg in swing phase. For all other joints only reference control was applied. Two approaches were applied in internal synergy compensation: PID regulator and (ti ) fuzzy logic regulator. In both cased "additional amount of control" (Δu local ) at joint n i was added to reference control. PID regulator for internal synergy compensation is defined in following way: ti ) Δu (local = k p ni local ⋅ Δq (nt i ) + k i ni local ⋅ i at jo int n i i ti ∑ Δq i =1 (i ) ni ( ) + k d ni local ⋅ Δq (nt i ) − Δq (nt i −1) .
During the test, the observation was made that the children were really seeking for a visual resemblance without recognizing the underlying emotions. When performing the same test on fifteen adult people (20 - 35 years of age) the results in Table 3 were similar with the exception of surprise. Where the children had difficulties identifying the emotion of surprise most of the adults (81%) had a positive match. We also observed that some of the adults, first try to recognize the underlying emotions rather than just look for a graphical similarity, resulting in better matches.
This class may be arbitrarily extended to provide more complex functionality as mentioned earlier. 4. The fourth step is using the data in the highest layer which obviously cannot have a prototype implementation. During the depicted process, a lot of hardcoded stuff has been removed and replaced by new code which follows the proposed methods and design decisions. This code is simpler and easier to read and the new design allows improving the robot by adding new devices with only minimal effort needed.
A 2-approximation for the preceding-and-crossing structured 2-interval pattern problem by Jiang M.