Refine
Document Type
- Conference Proceeding (5)
- Report (3)
- Article (2)
- Master's Thesis (2)
- Working Paper (2)
- Doctoral Thesis (1)
Language
- English (15) (remove)
Has Fulltext
- yes (15)
Keywords
Robotic grasping has been a prevailing problem ever since humans began creating robots to execute human-like tasks. The problems are usually due to the involvement of moving parts and sensors. Inaccuracy in sensor data usually leads
to unexpected results. Researchers have used a variety of sensors for improving manipulation tasks in robots.
This thesis focuses specifically on grasping unknown objects using mobile service robots. An approach using convolutional neural networks to generate grasp points
in a scene using RGBD sensor data is proposed. Two neural networks that perform grasp detection in a top down scenario are evaluated, enhanced and compared in
a more general scenario. Experiments are performed in a simulated environmentas well as the real world.
The results are used to understand how difference in
sensor data can affect grasping and enhancements are made to overcome these effects and to optimize the solution.
This thesis is an improvement on the works of Douglas Morrison, Peter Corke and Jürgen Leitner in their work Closing the Loop for Robotic Grasping: A Real-time,
Generative Grasp Synthesis Approach and Fu-Jen Chu, Ruinian Xu and Patricio A. Vela in their work Real-world Multi-object, Multi-grasp Detection.
Globalization has not only changed our society, it has also had a profound effect on education. Many schools deal with student populations which, due to migration, are increasingly multilingual. Politically, few argue against the importance of multilingualism; rather, it is promoted. However, in practical terms the challenges associated with teaching and educational policies have increased as a result of linguistic diversity among student bodies. Moreover, reading is certainly regarded as a key learning skill, but how is the students’ life-world multilingualism (LWMUL) taken into consideration? Previous research suggests that there are significant links between teachers’ beliefs and practices, making this a compelling issue. The overall aim of this study was thus to gain a deeper understanding on teachers’ beliefs and strategies when teaching reading in multilingual settings. Using a cross-disciplinary, qualitative research methodology approach, the empirical inquiry consists of case studies with different, linguistically diverse settings. The case studies include classroom observations as well as teacher interviews in German, Swedish and Chilean grade 4 classrooms. After a qualitative content analysis in three analysis procedures, the results suggest dualistic beliefs being exhibited by the teachers. The separation of languages is believed to be of major importance, thus providing space almost exclusively for the academic language of instruction. This is reflected in the teachers’ strategies, leading to a static implementation, in which the students’ life-world multilingual resources (MULR) are generally not included. A lack of professional competence could be observed in issues regarding multilingualism, allowing beliefs rather than evidence-based knowledge to be the deciding factor in the practice. Four types of strategies for teaching reading in multilingual settings were identified, and an inattentive type of strategy, including a blindness to difference, seems to dominate.
The requirement of air conditioning in modern passenger cars need to fullfill enviromental standards with respect to refrigerant concerning global warming potential and ozone depletion with flour chlor carbon hydrogen mixtures.
This leads to compromises with respect to energy onsumption and cost of components.
As an alternative to standard refrigeration cycles, an inexpensive direct air cooling process is presented and discussed with respect to performance.
The process is specially suited for electric vehicles or vehicles equipped with an electric boosting device (E-charger).
In this thesis a swarm intelligent approach for controlling and coordinating a multi- agent system is studied. Considering an example where bodyguard agents have to protect one or more VIP agents, it is shown that the swarm intelligent approach can be a flexible and robust way to control a multi-agent system.
The European Society for New Methods in Agricultural Research (ESNA) is an international society originally established in Wageningen (The Netherlands) in 1969 with the aims of exchanging ideas and techniques to promote the advancement of agricultural sciences. The original scope - the co-ordination of research in the application of nuclear techniques in agriculture - has gradually changed and now the Society also covers aspects of environmental protection and the application of new methods and biotechnology in agricultural research. The Society organizes annual meetings in various European countries and the scientific programme is devoted to fundamental and applied issues from the above-mentioned areas. For more information see http://www.mendelu.cz/esna/. One of the 6 working groups, where current research is presented as oral papers or posters is Working Group 3 with the scientific topic SOIL PLANT RELATIONSHIPS, comprising soil science, plant nutrition (including microbial aspects), application of stable and radioactive isotope techniques, plant physiology, behaviour of pollutants in soil-plant system. Proceedings of Working Group 3 from the annual meetings since 2001 are published here. Present Chairmen of this working group are V. Licina and. G. Zibold. Professor Dr. V. Licina, University of Belgrade, Faculty of Agriculture, 11 080 Belgrade, Nemanjina 6, Serbia&Montenegro; E-mail: licina@agrifaculty.bg.ac.yu; Professor Dr. G. Zibold, University of Applied Sciences Fachhochschule Ravensburg-Weingarten, D 88241 Weingarten, Germany; E-mail: zibold@fh-weingarten.de