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3D pose estimation is a crucial element for enabling robots to work in industrial environment to perform tasks like bin-picking or depalletizing. Even though there exist various pose estimation algorithms, they usually deal with common daily objects applied in lab environments. However, coping with real-world industrial objects is a much harder challenge for most pose estimation techniques due to 3D pose estimation is a crucial element for enabling robots to work in industrial environment to perform tasks like bin-picking or depalletizing. Even though there exist various pose estimation algorithms, they usually deal with common daily objects applied in lab environments. However, coping with real-world industrial objects is a much harder challenge for most pose estimation techniques due to

The recent development of calibration algorithms has been driven into two major directions: (1) an increasing accuracy of mathematical approaches and (2) an increasing flexibility in usage by reducing the dependency on calibration objects. These two trends, however, seem to be contradictory since the overall accuracy is directly related to the accuracy of the pose estimation of the calibration obj

The registration of an observed point set to a known model to estimate its 3D pose is a common task for the autonomous manipulation of objects. Especially in industrial environments, robotic systems need to accurately estimate the pose of objects in order to successfully perform picking, placing or assembly tasks. However, the characteristics of industrial objects often cause difficulties for clas

This paper presents an integrated cognitive robotics system for industrial kitting operations in a modern factory setting. The robot system combines low-level robot control and execution monitoring with automated mission and task planning, and a logistics planner which communicates with the factory's manufacturing execution system. The system has been implemented and tested on a series of automotiThis paper presents an integrated cognitive robotics systemfor industrial kitting operations in a modern factory setting.The robot system combines low-level robot control and execution monitoring with automated mission and task planning,and a logistics planner which communicates with the factory’smanufacturing execution system. The system has been implemented and tested on a series of automotive k

Traditional robots used in manufacturing are very efficient for solving specific tasks that are repeated manytimes. The robots are, however, difficult to (re-)configure and (re-)program. This can often only be done byexpert robotic programmers, computer vision experts, etc., and it requires additionally lots of time. In thispaper we present and use a skill based framework for robotic programming. Traditional robots used in manufacturing are very efficient for solving specific tasks that are repeated many times. The robots are, however, difficult to (re-)configure and (re-)program. This can often only be done by expert robotic programmers, computer vision experts, etc., and it requires additionally lots of time. In this paper we present and use a skill based framework for robotic programmin

Problem-based learning (PBL) has proven to be highly effective for educating students in an active and self-motivated manner in various disciplines. Student projects carried out following PBL principles are very dynamic and carry a high level of uncertainty, both conditions under which agile project management approaches are assumed to be highly supportive. The paper describes an empirical case stProblem-based learning (PBL) has proven to be highly effective for educating students in an active and self-motivated manner in various disciplines. Student projects carried out following PBL principles are very dynamic and carry a high level of uncertainty, both conditions under which agile project management approaches are assumed to be highly supportive. The paper describes an empirical case st

Candida antarctica lipase B (CalB) was efficiently expressed (6.2 g L-1) in Escherichia coli by utilizing an N-terminal tag cassette and the XylS/Pm expression system in a fed-batch bioreactor; subsequent direct binding to EziG from crude extracts resulted in an immobilized catalyst with superior activity to Novozym 435.

Lipoprotein (a) [Lp(a)] is a low density lipoprotein (LDL) with one apolipoprotein (a) molecule bound to the apolipoprotein B-100 of LDL. Lp(a) is an independent risk factor for cardiovascular disease (CVD). However, the relationship of Lp(a) to diabetes and metabolic syndrome, both known for increased CVD risk, is controversial. In a population based study on type two diabetes mellitus (T2DM) dev

The transition to green economies has been mediated by concrete cases and experiments in a variety of different industrial and social sectors. What is lacking, is research that would synthesize key findings and “lessons learned” across a variety of cases. In this study, we explore ten cases of green economy of different sectors and approaches from five European countries and identify factors that

The occurrence of an early Preboreal climatic cooling/oscillation (PBO) in lacustrine and glacial records from northwest Europe, Iceland and Greenland is reviewed and documented. The often subtle response of the proxy records to this oscillation, in combination with its short duration, make it difficult to detect. Owing to its chronostratigraphic position between the 10000-9900 and 9600-9500 14C p

Major water infrastructure projects like dams can provide substantial benefits such as food and drinking water security, hydropower generation, and flood control. But these benefits may come at a (too) high cost of large scale ecological alterations or adverse social impacts such as involuntary resettlements. If these costs are neglected, an investment decision will hardly be efficient. In this ch

Stable carbon isotope measurements (δ13C) made on Quaternary sequences of terrestrial plant subfossils are frequently used to infer palaeoclimatic trends. However, differential decomposition of individual constituents during incorporation of plant material into lake sediments could influence these interpretations. Therefore, we investigated down-core variations in the carbon isotope composition (δ