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This reduces the system weight, cost, and control complexities; thus it may be more cost beneficial for some recreational or household applications.

If the human annotators didn't make sure to balance the data appropriately, the algorithm might inadvertently conclude that laughter is essentially a "woman's thing"--which is not so helpful for software that aims to read people's emotions to provide a better driving experience. Furhat Robotics doesn't want to determine the gender--or for that matter, species--of its robots for you. The robot comes as a head and stand (and optional fur hat).

Boerkoel says removing all biases from robots is an enormous and difficult task. For example, the car may suggest that you don't stop by the grocery store and do it tomorrow instead if it detects that you're tired or frustrated.

The company says that avoiding bias in its algorithms starts with accumulating an enormous set of diverse data. The optical sensors that work with Affectiva's software to capture details of facial expressions, such as the movements of an eyebrow or the corners of a mouth, are placed in the background in an effort to analyze people acting naturally.

School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng, Shandong 252000, China Received 5 February 2014; Revised 10 April 2014; Accepted 22 April 2014; Published 10 July 2014Academic Editor: Shahram Payandeh Copyright © 2014 Qun Sun et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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It was later suggested that a large number of controllable degrees of freedom require highly efficient drives properly arranged, special design of feet to dissipate the energy of the strike, and so forth, and the problem of the control seems to be the main problem of the walking robot [2].