No finite sample is sufficient to determine the density, and therefore the entropy, of a signal directly. Some assumption about either the functional form of the density or about its smoothness is necessary. Both amount to a prior over the space of possible density functions. By far the most common approach is to assume that the density has a parametric form. By contrast we derive a differentia...

Mobile manipulators are one of the most complicated types of mechatronics systems. The performance of these robots in performing complex manipulation tasks is highly correlated with the synchronization and integration of their low-level components. This paper discusses in detail the mechatronics design of a four wheel steered mobile manipulator. It presents the manipulator’s mechanical structur...

Magnetically tunable micropillar arrays with uniform, continuous and extreme tilt angles for real-time manipulation are reported. We experimentally show uniform tilt angles ranging from 0° to 57°, and develop a model to accurately capture the behavior. Furthermore, we demonstrate that the flexible uniform responsive microstructures (μFUR) can dynamically manipulate liquid spreading directionali...

Software for simulation-based learning of electronics was implemented to help learners understand complex and abstract concepts through observing external representations and exploring concept models. The software comprises modules for visualization and simulative manipulation. Differences in learning performance of using the learning software either with or without the simulative manipulation ...

We describ e a system that integrates real time com puter vision with a sensorless gripper to provide closed loop feedback control for grasping and manipulation tasks Many hand eye coordination skills can be thought of as sensory control loops where specialized reasoning has been embodied as a feedback or control path in the loop s construction Our framework cap tures the essence of these hand ...

A system developed to demonstrate integration of a number of key research areas such as localization, recognition, visual tracking, visual servoing and grasping is presented together with the underlying methodology adopted to facilitate the integration. Through sequencing of basic skills, provided by the above mentioned competencies, the system has the potential to carry out flexible grasping f...

Robots assisting disabled or elderly people in the performance of activities of daily living need to perform complex manipulation tasks which are highly dependent on the environment and preferences of the user. In addition, these environments and users are not suitable for the collection of massive amounts of training data, as the manipulated objects can be fragile, and the wheelchair-bound use...

We present a probabilistic behavior recognition model that can be used to segment continuous data and distinguish between dozens of different activities. The model uses a natural semantic specification of partiallyordered activities. In order to provide robust and general activity descriptions certain parameters of the underlying probabilistic model are deliberately left unspecified. However, w...

Chemokine-guided lymphocyte positioning in tissues is crucial for normal operation of the immune system. Direct, real-time manipulation and measurement of single-cell responses to chemokines is highly desired for investigating the cell biology of lymphocyte migration in vivo. Here we report the development of the first two-photon-activatable chemokine CCL5 through efficient one-pot total chemic...