Browsing by Author "Sarac, M."

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Haptic-Assisted Soldering Training Protocol in Virtual Reality: The Impact of Scaffolded Guidance
(Institute of Electrical and Electronics Engineers Inc., 2025) Yilmaz, M.; Batmaz, A.U.; Sarac, M.
In this paper, we present a virtual training platform for soldering based on immersive visual feedback (i.e., a Virtual Reality (VR) headset) and scaffolded guidance (i.e., disappearing throughout the training) provided through a haptic device (Phantom Omni). We conducted a between-subject user study experiment with four conditions (2D monitor with no guidance, VR with no guidance, VR with constant, active guidance, and VR with scaffolded guidance) to evaluate their performance in terms of procedural memory, motor skills in VR, and skill transfer to real life. Our results showed that the scaffolded guidance offers the most effective transitioning from the virtual training to the real-life task — even though the VR with no guidance group has the best performance during the virtual training. These findings are critical for the industry and academy looking for safer and more effective training techniques, leading to better learning outcomes in real-life implementations. Furthermore, this work offers new insights into further haptic research in skill transfer and learning approaches while offering information on the possibilities of haptic-assisted VR training for complex skills, such as welding and medical stitching. © 2025 Elsevier B.V., All rights reserved.
Self-Balancing Tray for Service Robots
(Institute of Electrical and Electronics Engineers Inc., 2025) Ozdel, M.E.; Kilic, E.; Atila, M.; Tavakol, V.B.; Sarac, M.; 01. Kadir Has University
One of the biggest challenges in the field of service robots is achieving steady transportation of goods. This challenge can be addressed by developing self-balancing platforms. This study proposes a mechanism that maintains tray steadiness on inclined surfaces and during abrupt movements. The system integrates a dual-servo motor controlled by an inertial measurement unit (IMU) sensor for real-time inclination detection and correction. A linkage mechanism dynamically adjusts the tray's position based on sensor feedback, ensuring optimal balance. Experimental results validate the system's effectiveness in maintaining steadiness under various conditions, enhancing service robot functionality, reducing spillage, and improving reliability. © 2025 Elsevier B.V., All rights reserved.