Shichao Ou

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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)
This paper describes the design and preliminary implementation of two distributed smart camera applications: a fall detector and an object finder. These functions are part of a novel suite of applications being developed to address " aging in place " health care technologies. Our approach to these applications is unique in that they are based heavily on(More)
— This paper provides a framework with which a humanoid robot can efficiently learn complex behavior. In this framework, a robot is rewarded by learning how to generate novel sensorimotor feedback—a form of native motivation. This intrinsic drive biases the robot to learn increasingly complex knowledge about itself and its effect on the environment. The(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)
— Software tools for programming autonomous systems that are embedded in unstructured environments are increasingly important in robotics. We introduce a layered software architecture designed to facilitate the construction of hierarchical models for adaptive control programs that are learned and that can be transferred to related contexts and new robots.(More)
The deployment of large, mobile sensor networks presents a wide range of problems, including 1) effectively communicating the important information to a user (or small set of users) without inundating him/her with irrelevant data, 2) allowing the user to affect the deployment of the network in an intuitive manner, and 3) making this interaction available to(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)
— In this paper, we propose that a robot can create a series of monitors describing its own pointing gesture and reaching behavior and that these models can be used to infer human intention delivered by a pointing gesture and assist accordingly. This extends our previous work where we demonstrated that an intrinsically motivated robot can be designed to(More)