Shichao Ou

Learn More
We describe a methodology for creating new technologies for assisted living in residential environments. The number of eldercare clients is expected to grow dramatically over the next decade as the baby boom generation approaches 65 years of age. The UMass/Smith ASSIST framework aims to alleviate the strain on centralized medical providers and community(More)
Large sensor networks in applications such as surveillance and virtual classrooms, have to deal with the explosion of sensor information. Coherent presentation of data coming from such large sets of sensors becomes a problem. Thus there is a need to summarize events while retaining the spatial relationship between sensors. Also, such systems are prone to(More)
We describe a method for predicting user intentions as part of a human-robot interface. In particular, we show that <i>funnels</i>, i.e., geometric objects that partition an input space, provide a convenient means for discriminating individual objects and for clustering sets of objects for hierarchical tasks. One advantage of the proposed implementation is(More)
This paper presents a learning framework that enables a robot to learn comprehensive policies autonomously from a series of incrementally more challenging tasks designed by a human teacher. Psychologists have shown that human infants rapidly acquire general strategies and then extend that behavior with contingencies for new situations. This strategy allows(More)
—Smart agents are equipped with sensors that enable them to be sensitive to their surrounding environment. However, the mapping of multiple raw streams of sensory data to the appropriate actions is not an easy problem, especially when multiple conflicting objectives are involved. This type of multi-sensor fusion problem through the domain of power(More)
  • 1