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Ritsumeikan University has established itself as a globally recognized hub for robotics and intelligent systems research, with decades of foundational contributions spanning robot control theory, soft robotics, autonomous navigation, and human-robot interaction. Based in Japan, the university's research programs have produced landmark work that continues to shape the field, evidenced by an impressive citation record across multiple generations of scholarship. The university's intellectual legacy begins with seminal theoretical contributions, including pioneering solutions to inverse kinematics singularity problems and optimal redundancy control for robot manipulators—work from the late 1980s that still garners thousands of citations and underpins modern manipulator design worldwide. Early innovations in multi-fingered grasping, multi-robot coordination, and learning-based motion control further cemented Ritsumeikan's reputation as a powerhouse in foundational robotics theory. More recently, the institution has demonstrated remarkable versatility by expanding into cutting-edge domains. Researchers have made significant advances in Visual SLAM algorithms, soft and elastic inflatable actuators, flexible multifunctional sensors for wearable applications, and agricultural automation through deep learning-based fruit harvesting robots. The development of the ultra-high-speed wire-driven FALCON robot exemplifies the university's tradition of translating theory into groundbreaking hardware. Ritsumeikan scholars have also taken leadership roles in human-centered robotics, contributing influential frameworks for safety evaluation of human-care robots, stroke rehabilitation technology, and quality metrics for human-robot interaction aligned with Industry 5.0 principles. The institution's prominent role in hosting IROS 2014 underscores its standing within the international robotics community. For prospective students and collaborators, Ritsumeikan University offers a dynamic research environment where theoretical rigor meets applied innovation, bridging classical control theory with emerging intelligent systems across a broad and impactful research agenda.