PID Line Follower (1–2 sensors → multi-sensor)
Build a high-speed line follower that scales from 2 IR sensors to a 16-array with PID tuning and corner recovery.
R&D in surgical robotics and AI. We collaborate with hospitals, researchers, and industry to build the next generation of robotic assistants.

Clinical Testbed
Our signature partnership with Mandya Institute of Medical Sciences is where prototypes meet real surgical workflows—fast iterations with surgeon feedback, ethics-cleared studies, and patient-centred impact.

Featured Research
A quick peek at three flagship initiatives. Explore the research page for detailed write-ups, papers, and videos.
Patent
A precision auscultation module designed for robotic platforms—consistent contact force, noise rejection, and high-fidelity signals for clinical decision support.

Partners
Courses
We’re crafting hands-on, clinic-ready curriculum across Robotics, AI in Healthcare, and Medical Data Systems. The first cohort opens soon—be the first to know.
Kinematics, control, ROS 2, perception, and real OR use-cases.
Clinical datasets, validation, auditability, and safe deployment.
Projects & Thesis
Pick a mini/major project or a thesis topic that maps to real clinical robotics problems. We’ll help you scope, prototype, and defend with confidence.
Build a high-speed line follower that scales from 2 IR sensors to a 16-array with PID tuning and corner recovery.
Design, model, and control a belt-or-gear SCARA with kinematics, path planning, and vision-assisted placement.
End-effector with constant contact force, denoising pipeline and clinical signal metrics— aligned with ManMed IP.
Got a project or thesis idea? Turn it into a publication-worthy build with our mentors.
About
Medicine rewards reliability; engineering rewards elegance. At Manmed, our craft is to reconcile both. We design mechanisms, control laws, and perception stacks that behave deterministically within the messy, stochastic theatre of clinical care—specified with concrete hazard models and measurable success criteria.
Our research agenda is deliberately translational. We prototype fast, but validate harder—prospective studies, blinded reads, and repeatability baked into our pipelines. The outcome we optimise for is not mere AUC, but time-to-care, reduced cognitive load, and fewer errors at the point of care.
Interfaces are co-designed with scrub nurses and residents, then hardened in simulation before the OR. On the data side, privacy budgets, governance trails, and reproducible pipelines are first-class. Our systems speak HL7/FHIR, DICOM, and vendor APIs to fit existing hospital fabrics without heroics.
“Robotic surgery is not about replacing surgeons—it’s about extending precision and consistency.”
“Every feature must lower variance in patient care while staying explainable to clinicians.”
Team
Careers
We’re always keen to meet talented builders across robotics, perception, control, and clinical UX.
Contact
Hospitals, researchers, and industry partners—reach out to explore studies, pilots, or integrations.