The transition to digital education requires sustainable interactive solutions to manage physical barriers in higher education. The study proposes a telepresence-based robotic framework that boost the learning environment by combining the usage of advanced robotics and eco-conscious design principles. A systematic literature review focusing on telepresence with an educational technology landscape divided the communication platform may contain missing points in interactivity and sustainability to guide them for development. The methodology included a three-phase strategy of: (1) system design and integration; (2) performance and usability testing; and (3) iterative improvement based on user feedback. The platform has modular hardware, AI-based natural language processing (NLP) with 92% speech recognition accuracy against multi-accent input, and computer vision for real-time interaction with low-latency video streaming. Sustainability was maximized with a 35% reduction in energy usage (12W average) compared to standard telepresence systems with efficient components and recyclable materials. Testing was conducted with 15 educators and 300 students in 100 trials in the real-world Institution where motion stability (95% success rate), responsiveness and engagement were assessed. Usability questionnaires produced a mean score of 4.3/5 for satisfaction with 87% of study participants reporting enhanced engagement. Results show the platform resulted in a 28% increase in remote learning participation, as compared to the traditional videoconferencing while ensuring eco-friendly operation. Iterative refinements increased mobility (success of navigation went from 82 to 96%) and battery life (from 4 to 6 hours). The results confirm the effectiveness of the framework to support interactive and sustainable learning. AI integration and modular design support for scalability, however, cost-effectiveness is a challenge. For future research we should explore wider implementation and more advanced AI automation to enhance the telepresence robotics in digital education. The novelty is a power optimized, AI-enabled telepresence (jointly optimizing energy use as well as quality of service and pedagogic engagement in the presence) empirically validated in actual higher education remote classes.
Rasool et al. (Fri,) studied this question.