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This paper presents the design and implementation of a SLAM-based online mapping and autonomous trajectory execution system for the Nimbulus-e, a concept vehicle designed for agile maneuvering in confined spaces. The Nimbulus-e uses individual steer-by-wire corner modules with in-wheel motors at all four corners. The associated eight joint variables serve as control inputs, allowing precise trajectory following. These control inputs can be derived from the vehicle’s trajectory using nonholonomic constraints. A LiDAR sensor is used to map the environment and detect obstacles. The system processes LiDAR data in real time, continuously updating the environment map and enabling localization within the environment. The inclusion of vehicle odometry data significantly reduces computation time and improves accuracy compared to a purely visual approach. The A* and Hybrid A* algorithms are used for trajectory planning and optimization, ensuring smooth vehicle movement. The implementation is validated through both full vehicle simulations using an ADAMS Car—MATLAB co-simulation and a scaled physical prototype, demonstrating the effectiveness of the system in navigating complex environments. This work contributes to the field of autonomous systems by demonstrating the potential of combining advanced sensor technologies with innovative control algorithms to achieve reliable and efficient navigation. Future developments will focus on improving the robustness of the system by implementing a robust closed-loop controller and exploring additional applications in dense urban traffic and agricultural operations.

Research in design of Web-based modules should incorporate aging as an important factor given the diversity of the current workforce. This work aims to understand how Web-Based Learning modules can be designed to accommodate young (25-35 years) as well as older (55-65 years) users by: (1) identifying how information sources (instructor video, banners, and PowerPoint slides) within a Web-based module impact user information recall; and (2) distinguishing if there are any module layout preferences based on module content, participant gender, and age group. The results from the study show that information recall significantly varied based on age group and Web-based module content, and provide empirical evidence to suggest a general preference for placing the video in the left-upper corner of a Web module screen.