The development of a robotic seeing-eye dog by the Computer Science Department at Binghamton University presents a potentially significant improvement in cost, efficiency, and accessibility for visually impaired individuals. Traditional seeing-eye dogs can be expensive and time-consuming to train, leading to a lack of availability for many in need. The use of quadruped robotic technology and a unique leash-tugging interface allows the robot to navigate indoor environments, guide individuals, and avoid obstacles. Further research and development, including the addition of a natural language interface and intelligent disobedience, are needed to ensure the technology is ready for all environments. Feedback from the visually impaired community, such as the need to be warned about sudden drop-offs, is guiding the team’s future research. The robots could potentially be more effective than real seeing-eye dogs in leading individuals to their desired destinations, and may be implemented in public spaces such as shopping malls and airports in the future. This research is a promising step towards increasing accessibility for the visually impaired community.