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This work presents a robotic implementation of Christmas gift wrapping. Handling paper is a challenging task for an industrial robot as it easily tears and folds in unexpected ways. In this application, a dual-arm industrial robot with simple two-finger grippers was used, and the robot was programmed using a standard position-based approach. The wrapping was accomplished with the help of plastic s

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

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

Competing Institutional Logics in Diaconal Work “Institutional logics” is a concept within the context of institutional theory. Institutions can be defined as patterns of activity rooted in material practices and symbolic systems. These institutional orders are all shaped by the history and each of them has a central logic that guides its organizing principles. The institutional logic provides

New robot applications increasingly require external sensing to accomplish robustness and performance despite the variations and uncertainties that come with the increasing demands on flexibility for manufacturing of customized products. The demands on productivity then require high performance, which for well known feedback-control reasons means short response times from external process event to

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

Continuous experimentation (CE) is used by many internet-facing companies to improve the value of their products based on user feedback gathered, e.g. through on-line experiments using A/B testing. Frameworks and theories for CE have been derived through academic research from applications in large internet facing companies. To assist practitioners in a broader range of companies, we herein presen

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

This paper proposes a ‘tool for thinking with’1: that we can describe the interaction between peopleand computers, and especially people and developer tools, as a form of conversation. We outline thisperspective, construct a work in progress analytical frame, and use it to talk about a couple of differentexamples and draw implications for future work.

Despite the growing integration of code analysis tools into developer workflows, usability challengespersist in many aspects. Previous research, primarily focused on static languages and professional developers, has largely overlooked the needs of novice developers and non-static languages like Python.In this paper, we investigate the experiences of novice Python programmers with static code analy

Autonomous robots must operate reliably and predictably in uncertain environ-ments. Throughout the robot software development cycle, robot operators and de-velopers must be able to specify their safety and functional requirements reliablyand explicitly. To this end, we propose to use Domain-Specific Languages (DSLs)to address their needs. To show the applicability and effectiveness of this approac

Target-controlled infusion (TCI) constitutes a clinically available alternative to manually administering the infusion rate of the anesthetic drug propofol. In TCI, a drug infusion profile is optimized to track a reference trajectory of blood plasma or effect site (brain cortex) drug concentration, or a corresponding clinical effect. TCI is a pure feed-forward openloop strategy, fully reliant on a

Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, most AI-based prognostics and health management in the automotive industry ignore textual descriptions of the experienced problems or symptoms. With this study, however, we propose an ML-assisted workflow for automotive fault nowcasting that improves on current indu

Software development is a complex activity that needs a lot of tool assistance. Over the years there has been a lot of effort put into development of automated assistance to help with activities such as detection of issues via program analysis, or refactoring of code. Recently, the landscape of developer tool assistance is being disrupted with the entry of AI tools, such as Copilot and ChatGPT, po