Medical Robotics Engineer - Basics to Mastery is a rigorous, hands-on roadmap from sensing and mechatronic fundamentals to autonomy and validated deployment in the clinic. You'll build whole systems-motors, sensors, control, perception, and human-machine interfaces-then integrate them for image-guided, teleoperated, and semi-autonomous procedures. Along the way, a running scenario follows a new hire tasked with designing a tendon-driven endoscopic tool: you choose actuators, size gear trains, model tissue interaction, implement impedance control, verify safety interlocks, simulate the OR workflow, author a risk file, and prepare a 510(k)-style dossier.
Clear math where needed, code patterns in Python/C++, and practical design reviews keep the focus on devices that pass bench tests and earn clinician trust.? End-to-end device lifecycle: concept ? verification ? validation? Core math made applied: kinematics, dynamics, control tuning? Perception stack: stereo, tracking, calibration, fusion? HRI, ergonomics, and haptics for safe, intuitive teleoperation? Quality & safety: ISO 13485, IEC 60601, risk, usability, cybersecurity? Clinical pathways: preclinical testing, trials, reimbursement strategy
Medical Robotics Engineer - Basics to Mastery is a rigorous, hands-on roadmap from sensing and mechatronic fundamentals to autonomy and validated deployment in the clinic. You'll build whole systems-motors, sensors, control, perception, and human-machine interfaces-then integrate them for image-guided, teleoperated, and semi-autonomous procedures. Along the way, a running scenario follows a new hire tasked with designing a tendon-driven endoscopic tool: you choose actuators, size gear trains, model tissue interaction, implement impedance control, verify safety interlocks, simulate the OR workflow, author a risk file, and prepare a 510(k)-style dossier.
Clear math where needed, code patterns in Python/C++, and practical design reviews keep the focus on devices that pass bench tests and earn clinician trust.? End-to-end device lifecycle: concept ? verification ? validation? Core math made applied: kinematics, dynamics, control tuning? Perception stack: stereo, tracking, calibration, fusion? HRI, ergonomics, and haptics for safe, intuitive teleoperation? Quality & safety: ISO 13485, IEC 60601, risk, usability, cybersecurity? Clinical pathways: preclinical testing, trials, reimbursement strategy