Artificial Intelligence in Education (AIEd) has the potential to transform learning by providing personalised and adaptive environments and enabling more effective assessment and feedback (Luckin et al., 2016). Implementing AIEd has different challenges involving accommodating different learning styles, understanding how learners interact with tools, creating accessible technology for students with learning or sensory disabilities, and managing cognitive load and stress. The potential benefits of using AIEd for the personalised presentation supports inclusive learning environments, including improved understanding, accessibility to learning (Costas-Jauregui et al., 2021), reduced stress (Hsu et al., 2021), and cognitive load (Turan & Goktas, 2016), to improve mathematical understanding and student confidence. Neto et al. (2021) argue that the opportunity to utilise robots to enhance inclusive classroom experiences lies in their ability to utilise their physical attributes, multimodal feedback systems, customised social behaviours, and sensory functions. The potential benefits promote the development of inclusive and intelligent educational frameworks. In this paper, the authors examine the potential of using AIEd combined with robotics to provide a personalised learning framework for students with learning disabilities (e.g., dyslexia) and sensory disabilities (e.g., vision impairment/blindness). The paper will assess the challenges and benefits of the AIEd framework combined with robotics for inclusive mathematics education.