The integration of robotics and telemedicine has emerged as a transformative solution for bridging the healthcare accessibility gap in underserved rural communities. Remote physiotherapy, which traditionally relies on in-person sessions with therapists, faces significant limitations in geographically isolated areas due to shortages of specialists, inadequate healthcare infrastructure, and long travel distances for patients. Robotics-assisted telemedicine platforms represent a novel paradigm that combines robotic rehabilitation systems, advanced sensor networks, and telecommunication technologies to deliver physiotherapy services remotely while maintaining high levels of personalization and clinical efficacy. This paper presents an investigation into the design, deployment, and evaluation of robotics-assisted telemedicine platforms for remote physiotherapy. It proposes a system architecture integrating wearable robotic exoskeletons, haptic interfaces, edge/cloud computing, and artificial intelligence-driven adaptive algorithms to enable clinicians to remotely monitor, control, and adjust physiotherapy interventions in real time. The findings demonstrate that robotics-assisted telemedicine platforms not only improve patient outcomes but also significantly reduce healthcare inequities across rural regions.