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Across use adaptation is a possible way of dealing with long term vacant office buildings, albeit previous research shows that there are many obstacles to be thrived. In The Netherlands several successful transformations of offices into housing were completed. Nevertheless, transformations do not take place on a large scale. High building costs are the main reason. Hence, new office developments should anticipate future programmatic transformation. This paper seeks answers to the questions: Is it possible to anticipate future programmatic change? To what extent will anticipation on future possibilities influence building costs?

The authors reviewed existing studies to gather information about transformation building costs and the critical success factors of transformations. The building design and costs for new office buildings were then studied, designed with enhanced transformation potential, focussing on two standard office building types, the central core tower and the single corridor slab, using the cost model PARAP.

The outcome of this research proposes an approach to office development that deals with adaptability as a means of realising enhanced future value.

To limit the research, only two standard office building types were studied.

Next to changes in the construction method of standard office buildings, the research suggests consciousness in the design phase of office developments to improve adaptability.

Based on studies of completed across use adaptations, the paper gives recommendations on how to improve the adaptability of new office buildings.

The purpose of this research is to provide the necessarily and resourceful information regarding range sensors to select the best fit sensor for robust autonomous navigation. Autonomous navigation is an emerging segment in the field of mobile robot in which the mobile robot navigates in the environment with high level of autonomy by lacking human interactions. Sensor-based perception is a prevailing aspect in the autonomous navigation of mobile robot along with localization and path planning. Various range sensors are used to get the efficient perception of the environment, but selecting the best-fit sensor to solve the navigation problem is still a vital assignment.

Autonomous navigation relies on the sensory information of various sensors, and each sensor relies on various operational parameters/characteristic for the reliable functioning. A simple strategy shown in this proposed study to select the best-fit sensor based on various parameters such as environment, 2 D/3D navigation, accuracy, speed, environmental conditions, etc. for the reliable autonomous navigation of a mobile robot.

This paper provides a comparative analysis for the diverse range sensors used in mobile robotics with respect to various aspects such as accuracy, computational load, 2D/3D navigation, environmental conditions, etc. to opt the best-fit sensors for achieving robust navigation of autonomous mobile robot.

This paper provides a straightforward platform for the researchers to select the best range sensor for the diverse robotics application.