This paper proposes a planning method for a vision-guided mobile robot under vision uncertainty and limited computational resources. The method considers the following two tradeo s: (1) granularity in approximating a probabilistic distribution vs. plan quality, and (2) search depth vs. plan quality. The rst tradeo is managed by predicting the plan quality for a granularity using a learned relat...

This paper describes what I have done and learned in robot-vision research, and speculates what is necessary and promising in the future. In early artificial intelligence research, it was proved in the context of recognition of polyhedra that a hierarchical method in which a higher process assumes an ideal output of lower processes has limitations. A similar approach has been effective for visi...

We present a scenario whereby an agent senses, interprets and copies a range of facial and gesture expression from a person in the real-world. Input is obtained via a video camera and processed initially using computer vision techniques. It is then processed further in a framework for agent perception, planning and behaviour generation in order to perceive, interpret and copy a number of gestur...

this article has been formulated based on the strategic planning of the university. vision formulation has been done based on the model presented by j. collins and j. porras (1996). the model includes two sectors, which are core ideolgy and envisioned future. in this article the envisioned future of the university and its vision have been formulated. envisioned future itself is included in two ...

Tools for fostering tourism sustainable development have evolved during a lifespan of 35 years in Mexico. There have been noted two strategic tendencies that planning agency FONATUR has implemented. New components of the planning process such as public participation and local initiatives as well as public environmental concern have modified the previous vision. The new vision is intended to be ...

A new framework of a hierarchical vision-motion planning for a mobile robot under uncertainty is proposed. An optimal plan is generated by twolevel planning: global route selection and local path planning. In global route selection, a sequence of observation points to acquire sufficient information to reach a destination is determined. Both the cost and the uncertainty of vision are considered ...