High mobility and maneuverability are the most desirable features for a rough terrain locomotion system. In the recent scenario, energy conservation need to be considered while selecting a desired mobility of the system. Wheeled robots can give desired mobility with fewer energy requirements than legged robots. Limitation of wheeled mobile robots is to pass obstacles height more than half of the wheel diameter. This paper presents a novel design that can pass obstacles of the same height as its own wheel and imparts viable solution to the current limitations. A robot is designed and Analyzed with basic mathematical considerations. The results of analytical solutions are compared with the actual prototype model. The control of the robot from the far location is required. The presented autonomous stair climber robot is controlled by a Raspberry pi controller to trigger the circuits of the robot. This robust design increases the mobility of the wheeled robot and reduces energy requirement along with smooth stair climbing motion. This work can also be extended to ha {}ve locomotion on uneven terrain.

This study addresses the limited research on the user experience of e-learning platforms, specifically focusing on cognitive and emotional outcomes. The study proposes a non-invasive method to assess the emotional effects associated with e-learning platforms. The experiment involved 23 university students and compared the effectiveness of a real-time face and eye detection methodology (MIORA) with a retrospective questionnaire (SAM) to understand the emotional responses during user-platform interaction. Usability issues were intentionally introduced in the system to observe students' emotional reactions and examine the consistency between the two tools. The results confirmed the hypothesis that real-time non-invasive tools for assessing emotional reactions are more comprehensive and reliable compared to the SAM questionnaire. These tools also allow for dynamic adaptations to the site's usability and interface based on the student's emotional reactions, potentially enhancing satisfaction, and learning outcomes. These findings provide valuable insights for future research on the impact of emotional responses to e-learning platforms on user experience and learning outcomes. Ultimately, this study lays a foundation for effectively assessing the emotional outcomes of e-learning to improve online and hybrid education.

No abstract