Engrained avoidance behavior is highly adaptive when it keeps away harmful events and can be highly maladaptive when individuals elude harmless situations in anxiety disorders, but the neural circuits that mediate avoidance are poorly understood. Using DREADDs and optogenetics in mice, we show that the output of the basal ganglia through the substantia nigra pars reticulata (SNr) controls activ...

Machine supervision on parallel robots demand a powerful online singularity loci prediction. To detect the entrance of the end-effector on direct kinematic singularities that constrain the internal workspace is not trivial for parallel robots with five or six degrees of freedom. This paper presents a strategy to safely drive a Hexa parallel robot out of direct singularity regions based an index...

This paper, presents a formal approach that addresses the reciprocal robots collision avoidance, where collaborative robots need to avoid collisions one with each other while moving in a common workspace. Based on our formulation, each physical robot acts fully independently, communicating with corresponding virtual prototype and imitating her behavior. Each physical robot reproduces the pathwa...

Predator-prey interactions have a major effect on species abundance and diversity, and aggregation is a well-known anti-predator behaviour. For immobile prey, the effectiveness of aggregation depends on two conditions: (a) the inability of the predator to consume all prey in a group and (b) detection of a single large group not being proportionally easier than that of several small groups. How ...

Drones are the first robots to arrive in smart cities, and collision avoidance with helicopters is among the first barriers to widespread drone use. In this paper, we develop control designs and vehicle models to analyze collision avoidance between quadrotors and helicopters, and use them to derive the ranges required for sensing or communication radios used for collision avoidance. The models ...