Planning under uncertainty is a central problem in the study of automated sequential decision making, and has been addressed by researchers in many different fields, including AI planning, decision analysis, operations research, control theory and economics. While the assumptions

in ubicomp has pushed three interaction themes: natural interfaces, context-aware applications, and automated capture and access. To chart a course for future research in ubiquitous computing, we review the accomplishments of these efforts and point to remaining research challenges. Research in ubiquitous

are drawn. The discussion is limited to architecture and does not include a strategic planning methodology. T he subject of information systems architecture is beginning to receive considerable attention. The increased scope of design and levels of complexity of information systems implementations

to understanding the impact of automated capture in this educational domain, there are many important lessons to take away from this long-term, largescale experiment with a living ubiquitous computing environment. The environment needs to address issues of scale and extensibility, and there needs to be a way

This paper summarizes work over the past five years on the automated planning and generation of multisentence texts using discourse structure relations, placing it in context of ongoing efforts by Computational Linguists and Linguists to understand the structure of discourse. Based on a series

. Solutions to some of these problems are deschbed, together with a plan to use a video camera to allow device-free interaction with the projected images. The EDprojector is a practical way to create ubiquitous graphical interfaces to access computational power and networked data. In particular

heuristic search of t}le tree yields trajectories that satisfy a l)rioritized list of objectives, such as reaching t}~e goal, maximizing speed, and achieving a desired trajectory structure. The heuristic approach is computational]y ctlicientl a])plic.al)le to on-line planning of industrial robots

The goal of human-centered, ubiquitous computing should be to hide the details of the computing environment, allowing users to concentrate on their goals, rather than on the direct management of devices. This paper describes a system that operates at the level of goals and plans, rather than

the application can assist him, we describe a plan-driven execution model for ubiquitous computing and describe a system implementation of this model. All of our work is in situations within a variety of intelligent environments (IEs) ranging from kiosks to personal offices to meeting rooms. However, all

in specific areas like automotive automation, health care, home automation, advanced manufacturing. Some aspects of Ubiquitous Computing from an automatic control perspective and its relation to mixed reality, augmented reality and pervasive computing will be covered. Several problems like geometric