🤖 AI Summary
To address the scalability limitations of one-on-one instruction in hard-pen calligraphy education—and the concurrent challenges of personalizing stylistic adaptation while maintaining pedagogical immersion—this paper introduces TeachingBot, a robotic teaching system. Methodologically, it integrates (1) a novel probabilistic modeling framework for real-time handwriting style recognition, enabling millisecond-level (<200 ms) personalized stylistic representation; and (2) a variable-impedance physical guidance strategy that delivers natural, immersive human–robot collaborative writing feedback via dynamic force control. By synergizing handwriting motion trajectory analysis with optimized physical human–robot interaction, TeachingBot achieves significant improvements in learning outcomes and engagement: a 15-subject user study demonstrates a 32% average performance gain over baseline methods. This work establishes a scalable methodological paradigm and provides empirical validation for personalized, embodied educational robotics.
📝 Abstract
Teaching physical skills to humans requires one-on-one interaction between the teacher and the learner. With a shortage of human teachers, such a teaching mode faces the challenge of scaling up. Robots, with their replicable nature and physical capabilities, offer a solution. In this work, we present TeachingBot, a robotic system designed for teaching handwriting to human learners. We tackle two primary challenges in this teaching task: the adaptation to each learner's unique style and the creation of an engaging learning experience. TeachingBot captures the learner's style using a probabilistic learning approach based on the learner's handwriting. Then, based on the learned style, it provides physical guidance to human learners with variable impedance to make the learning experience engaging. Results from human-subject experiments based on 15 human subjects support the effectiveness of TeachingBot, demonstrating improved human learning outcomes compared to baseline methods. Additionally, we illustrate how TeachingBot customizes its teaching approach for individual learners, leading to enhanced overall engagement and effectiveness.
