Proceedings of the NASA Conference on Space Telerobotics, volume 5

Papers presented at the NASA Conference on Space Telerobotics are compiled. The theme of the conference was man-machine collaboration in space. The conference provided a forum for researchers and engineers to exchange ideas on the research and development required for the application of telerobotics technology to the space systems planned for the 1990's and beyond. Volume 5 contains papers related to the following subject areas: robot arm modeling and control, special topics in telerobotics, telerobotic space operations, manipulator control, flight experiment concepts, manipulator coordination, issues in artificial intelligence systems, and research activities at the Johnson Space Center

Machine Learning

Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience

adaptive location update mechanism for network-constrained moving objects in changeful traffic conditions

Natl Chiao Tung Univ, Dept Comp SciLocation update strategy is one of the most important factors that affect the performance of moving objects databases. However, current motion vector based location tracking methods are designed for regular movements and are thus not suitable for transportation networks with changeful traffic conditions. To solve this problem, we propose a new location update mechanism, Adaptive Network-constrained moving object Location Update Mechanism (ANLUM), in this paper. In ANLUM, the moving object can switch between different location tracking policies according to difference traffic conditions, so that the overall performance can be improved. To evaluate the performance of the proposed method, an experimental system is implemented and the results show that ANLUM can effectively reduce the communication costs with location tracking accuracy guaranteed in traffic jammed transportation networks

Exploring cognition in visual search and vigilance tasks with eye tracking and pupillometry

Recent findings in experimental psychology suggest that pupillometry, the measurement of pupil size, can provide insight into cognitive processes associated with effort and target detection in visual search tasks and monitoring performance in vigilance tasks. With the increasing availability, affordability and flexibility of video-based eye tracking hardware, these experimental findings point to lucrative practical applications such as real-time biobehavioural monitoring systems to assist with socially important tasks in operational settings. The aim of the current thesis was to explore this potential with further experimental work paying close attention to methodological issues which complicate cognitive interpretations of pupillary responses, such as physical stimulus confounds and eye movement-related measurement error in video-based systems. Six original experiments were designed to specifically explore the relationship between pupil size, cognition and behavioural performance in classic visual search and vigilance paradigms. Experiments 1-2 examined the pupillometric effects of effort and target detection in visual search with briefly presented stimuli. Pupil responses showed small variability with respect to manipulations of set size and target presence but were influenced substantially by the requirement for a motor response. Experiments 3-4 explored the cognitive pupil dynamics of free-viewing visual search with data-driven correction for eye movement artefacts. Group-level averages revealed small transient pupil dilations following fixations on targets but not distractors, an effect which was not contingent on a motor response or correction for gaze position artefacts. Experiments 5-6 looked at the relationship between pupil size and detection performance measures in two types of vigilance task. Changes in baseline and stimulus-evoked pupil responses loosely mirrored changes in performance, but the relationships were neither linear nor consistent. Overall, the thesis affirms the practical potential for using cognitive pupillometry in research and applied settings, but emphasises the constraints arising from methodological and theoretical limitations

Abstract Book: Scales of Social, Environmental & Cultural Change in Past Societies

The interplay of environment, social relations, material culture, population dynamics, and human perception are the key factors of socio-environmental changes. The exploration of processes and parameters of societal change enable further exploration of transformations of human-environmental interactions. These processes and parameters are detectable in the development of, for example, settlement systems, material culture, or ritual sites, which link different socio-environmental components. Humans and environments deeply shaped each other, creating diverse social, environmental, and cultural constellations. On the one hand, examining the roots of social, environmental, and cultural phenomena and processes, which substantially marked past human development, can lead to a deeper understanding of the development of societies. On the other hand, a focus on transformation patterns within momentous developments of past societies opens up the possibility of identifying substantial and enduring re-organisation of socio-environmental interaction patterns