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Variability in composite manufacture and the limitations in positional accuracy of common industrial robots have hampered automation of assembly tasks within aircraft manufacturing. One way to handle geometry variations and robot compliancy is to use force control. Force control technology utilizes a sensor mounted on the robot to feedback force data to the controller system so instead of being po
Driving automation systems, including autonomous driving and advanced driver assistance, are an important safety-critical domain. Such systems often incorporate perception systems that use machine learning to analyze the vehicle environment. We explore new or differing topics and challenges experienced by practitioners in this domain, which relate to requirements engineering (RE), quality, and sys
Human physiology is the study of how organisms, organ systems, and individual organs function under normal circumstances. As a consequence of its paramount importance to medicine, physiology has been studied since ancient times, but the models studied in this book follow the tradition of modern physiology pioneered by Claude Bernard in the mid 1800s.The focus of the book lies on how dynamical mech
Pharmacometric modeling plays an important role in drug development and personalized medicine. Pharmacometric covariate models can be used to describe the relationships between patient characteristics (such as age and weight) and pharmacokinetic (PK) parameters. Traditionally, the functional structure of these relationships are obtained manually. This is a time-consuming task, and consequently lim
The anesthetic drug propofol is commonly used to control hypnotic depth (suppression of awareness) in patients undergoing surgery or intensive care. In addition to manual titration, a model-based open-loop feed-forward strategy called target-controlled infusion (TCI) has attained some clinical popularity. Research on closed-loop control, with awareness estimates derived from an electroencephalogra
The understanding of small antennas has evolved tremendously since the initial investigations close to 80 years ago. In this presentation, we highlight some fundamental results on Q-factor, bandwidth, and gain.
Static program analysis plays a crucial role in ensuring the quality and security of software applications by detecting bugs and potential vulnerabilities in the code. Traditionally, these analyses are performed offline, either as part of the continuous integration/continuous deployment pipeline or overnight on the entire repository. However, this delayed feedback disrupts developer productivity,
Background: Testing is imperative to validate the functionalities and safety of autonomous driving systems. Simulated scenario-based testing is commonly adopted for autonomous driving systems, which aims to construct various driving scenarios and validate the autonomous driving systems in simulation. Nevertheless, identifying relevant test scenarios, especially critical ones that expose hazards or
Cyber-physical Systems (CPSs) are often safety-critical and deployed in uncertain environments. Identifying scenarios where CPSs do not comply with requirements is fundamental but difficult due to the multidisciplinary nature of CPSs. We investigate the testing of control-based CPSs, where control and software engineers develop the software collaboratively. Control engineers make design assumption
This study develops a deep learning method for fast auditory attention decoding (AAD) using electroencephalography (EEG) from listeners with hearing impairment. It addresses three classification tasks: differentiating noise from speech-in-noise, classifying the direction of attended speech (left vs. right) and identifying the activation status of hearing aid noise reduction (NR) algorithms (OFF vs
New particle formation via the ion-mediated sulfuric acid and ammonia molecular clustering mechanism remains the most widely observed and experimentally verified pathway. Recent laboratory and molecular level observations indicate iodine-driven nucleation as a potentially important source of new particles, especially in coastal areas. In this study, we assess the role of iodine species in particle
Can the right requirements boost developer satisfaction and happiness? We believe they can. In keeping with this issue's theme, 'Well-Being for Resilience: Developers Thrive,' we discuss the connection between the three keywords, well-being, resilience, and thriving. How could requirements engineering foster these qualities? While there hasn't been much research on this topic, we see opportunities
In the last column, we promised to return to one of the inevitable challenges that vibe coding leaves us with. At the AI Engineer World’s Fair 2025, OpenAI’s Sean Grove claimed that whoever writes the specification is now the programmer since AI can take it from there. Sounds amazing, but what gets lost along the way? To explore this, I’m joined by Jan-Philipp Steghöfer, a researcher at XITASO and
High motion performance, stiffness, and accuracy are crucial for industrial robot applications, but these requirements are in practice contradictory. Using a novel type of robot, the so called Gantry Tau, new combinations of stiffness and accuracy are in principle possible, except for the backlash in the drive-trains of each joint. Existing techniques for backlash reduction are either mechanicall
In this paper we present some experiments on the MySQL database server. The objective of the experiments was to investigate the high load dynamics for varying relation sizes and requests. We show that the dynamics for SELECT (read) requests can be modeled as a modified M/M/1 system, whereas, the dynamics for UPDATE (write) are completely different. Our results can be used for designing control and
In this paper, I describe systems and prototypes we created in the natural language processing group at Lund to extract structured knowledge from text. Starting from syntactic and semantic parsingcomponents,wedevelopedapplicationsthatcanhandlelargecorpora,typicallycomplete Wikipedia versions consisting of millions of documents and process text to identify entities and the relations between them. I
This paper details and discusses work performed at the woodworking SME Mivelaz Techniques Bois SA within the SMErobotics FP7 project. The aim is to improve non-expert handling of the cell by introduction of cognitive abilities in the robot system. Three areas are considered; intuitive programming, process adaptation and system integration. Proposed cognitive components are described together with
Robotic force control refers to the control and programmable specification of the interaction forces between a robot end effector and the work object, where either the end effector or the work object is attached to the robot manipulator. A rudimentary approach is to consider the joint torques and controlled variables, and then to compute those torques such that a presumably rigid manipulator effec
The colors and contrasts of the nocturnal world are just as rich as those found in the diurnal world. This chapter describes a recent biomimetic advance inspired by the visual systems of nocturnal insects. Since the underlying principles of both animal and camera vision are similar, it is natural to try to mimic the neural processes of nocturnal animals in order to construct efficient computer vis
