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Safe motion planning for robotic systems in dynamic environments is nontrivial in the presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in predicting future motions of dynamic obstacles. The worst case characterization gives a conservative uncertainty prediction and may result in infeasible motion planning for the ego robotic system. In this article, an efficie
Background Studies on the survival of patients with home mechanical ventilation (HMV) are sparse. We aimed to analyse the impact of controlled hypercapnia on survival over 27 years among patients with HMV in Sweden. Study design and methods Population-based cohort study of adult patients starting HMV in the Swedish Registry for Respiratory Failure (Swedevox) during 1996–2022 cross-linked with the
In the software industry, the drive to add new features often overshadows the need to improve existing code. Large Language Models (LLMs) offer a new approach to improving codebases at an unprecedented scale through AI-assisted refactoring. However, LLMs come with inherent risks such as braking changes and the introduction of security vulnerabilities. We advocate for encapsulating the interaction
Maintainable source code is essential for sustainable development. Yet, many studies show that maintainability often receives less attention than it deserves. We argue that requirements engineering can help close this gap by fostering discussions and setting appropriate targets in a responsible manner. In this preliminary work, we explore industry practices related to requirements engineering for
This column summarizes a panel discussion given by REFSQ 202 held in Barcelona on responsibility. Given the mediator role of our field, what other soft- ware engineering discipline could be a better fit for responsible engineering? And this will just keep getting more important as the influence of technology on society increases.
This column celebrates 40 years of IEEE Software through a retrospective on Requirements Engineering. Two seasoned experts discuss the discipline’s evolution from structured methodologies to AI-driven approaches. Finally, we speculate on future trends.
This column presents the evolution of sentiment analysis from a requirements engineering perspective. With large language models, the technology is now accessible to all. From novices to expert users, we discuss suitable ways to get started.
Channel sounding is a vital step in the design and deployment of wireless communication systems. In this article, we present the design and implementation of a coherent distributed massive multiple-input-multiple-output (MIMO) channel sounder operating at 5 and 6GHz with a bandwidth of 400MHz based on the NI USRP X410. Through the integration of multiple transceiver chains and radio frequency (RF)
Background: After an older person moves into a nursing home, the next of kin often continues to participate in the care provided there. This participation in care may contribute valuable knowledge of the preferences and wishes of the older person, thereby helping nursing staff deliver personalised care. Objectives: The aim of this study was to explore how next of kin experience their participati
The C programming language, while offering high performance and low-level control, is memory-unsafe. This makes it prone to programming errors that can result in serious software vulnerabilities and system instability. In this paper, we investigate the feasibility of transitioning a large code base from C to a memory-safe alternative, specifically Rust, in the context of a large company in telecom
As robots increasingly integrate into our social environments, from factories to social spaces, there is a growing need to find ways to effectively collaborate in these dynamic environments. However, current robotics research is mostly aimed towards task and environment specific programming. Even the state-of-the-art collaborative robotics technologies lack or have a very rudimentary understanding
This paper introduces an improved method for real-time brain computer interface control. We demonstrate how Bayesian optimization and feedback can be used to achieve faster statistical convergence by controlling the sequence of stimuli shown in a brain computer interface based on a visual oddball paradigm.
It is common that PID control loops function satisfactorily most of the time, but that they have issues with violating input, state, or output constraints. While MPC solves this problem in principle, it is in practice not straightforward to replace a functioning PID controller with an MPC implementation. This is particularly true for loops that are critical to plant operation, where stops associat
The PID controller is the by far most frequently employed type of controller. As you read, billions of digitally implemented PID controllers are running, shaping the dynamic behavior of anything from the fan speed in your laptop to safety-critical components in nuclear power plants. Given the abundance of commissioned PID controllers, it is surprisingly hard to find a single source that provides a
With increased autonomy in marine vessels, autonomous surface vessels (ASVs) and conventionally manned vessels need to coexist at sea. Any relocation needs to include collision avoidance according to the traffic rules at sea, COLREGs. Here, a local collision-avoidance planner for an archipelago environment is presented. The optimization-based local planner presented considers a predefined nominal
