Bipedal locomotion has been widely studied in recent years, where passive safety (i.e., a biped rapidly brakes without falling) is deemed to be pivotal problem. To realize safe 3-D walking, existing works resort nonlinear optimization techniques based on simplified dynamics models, requiring hand-tuned reference trajectories. In this article, we propose integrate constraints into constrained ta...

Acquisition of labeled training samples for affective computing is usually costly and time-consuming, as affects are intrinsically subjective, subtle uncertain, hence multiple human assessors needed to evaluate each sample. Particularly, affect estimation in the 3D space valence, arousal dominance, assessor has perform evaluations three dimensions, which makes labeling problem even more challen...

− As a novel learning method, reinforced learning by which a robot acquires control rules through trial and error has gotten a lot of attention. However, it is quite difficult for robots to acquire control rules by reinforcement learning in real space because many learning trials are needed to achieve the control rules; the robot itself may lose control, or there may be safety problems with the...

Segregation has been widely discussed by social scientists and especially by urban geographers and planners over the past decades. However, regardless of their focus, most of these studies view segregation as an obvious case of spatial injustice. I argue that this implicit relationship between segregation, (in) justice, and space needs to be reexamined. This paper approaches this task by review...