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Intent Recognition in Multi-Agent Domains
Intent recognition is an extremely important aspect of social robotics. The ability to recognize and react to intentions is not only an integral part of social interaction, but is also useful in adversarial domains, as ...
Using an Auction Behavior-Based Robotic Architecture in Order to Fulfill Necessary Functionality for Service Robotics
<bold>ABSTRACT</bold> Service robots have great potential for improving the quality of life and assisting with people's daily activities. Such robots must be capable of performing multiple tasks and schedule them ...
Efficient Object Detection and Tracking Using a Novel MSER-Based Approach
This dissertation introduces a novel, real-time, color-based, Maximally Stable Extremal Region (MSER) detection and tracking algorithm. Our algorithm combines MSER-evolution with image-segmentation to produce maximally-stable ...
Models of Intention for Human-Robot Interaction
As demand for robots grows in non-industrial settings, there is acorresponding need to develop systems that engage with humans ona social level. A key component of this social interaction is theprocess of inferring humans' ...
Learning to Generalize from Demostrations
Learning by demonstration is a natural approach that can be used to transfer knowledge from humans to robots, similar to how people teach each other through examples. To date, numerous approaches have been developed for ...