6–9 Months | 30 Weeks | 400–500+ Hours — Robotics • Medical Devices • AI • Computer Vision • Surgical Systems • Rehabilitation • Healthcare Automation. Theory + robotics lab + medical simulation + CAD + electronics + programming + AI + healthcare case studies + capstone.
Program objective: Develop industry-ready engineers who understand healthcare context and can design, build, program, simulate, validate and innovate intelligent robotic systems for clinical workflows — not just build generic robots with healthcare examples.
Student journey: Understand Healthcare → Anatomy & Physiology → Medical Devices → Robotics → Design Mechanisms → Integrate Sensors → Program Robot → Control Systems → Computer Vision & AI → Medical Data → Simulation → Safety Validation → Healthcare Application → Clinical-Workflow Simulation.
Core promise: Don't just build robots. Engineer robotic systems that interact safely with healthcare environments and assist clinicians and patients.
Target career roles
- Medical / Surgical / Rehabilitation / Healthcare Robotics Engineer
- Medical Device, Mechatronics, ROS, Control Systems Engineer
- Medical AI, Healthcare Computer Vision, Clinical Technology Specialist
- Healthcare Automation, Medical Equipment Application Engineer
Three RASA certification levels
- Level 1 — Medical Robotics Technology Professional: Healthcare + robotics fundamentals + sensors + applications
- Level 2 — Professional Medical Robotics Engineer: CAD + embedded + control + ROS 2 + AI + medical systems
- Level 3 — Advanced Medical Robotics & AI Engineer: Surgical/rehab/AI/imaging + safety + product development
Phase 1 — Healthcare & Medical Robotics (Weeks 1–2)
Module 01 — Introduction to Medical Robotics
- Surgical, rehabilitation, assistive, diagnostic, hospital service, pharmacy robots
- Precision, minimally invasive care, remote assistance, monitoring, logistics, infection control
- Ecosystem: patient ↔ clinician ↔ robot ↔ sensors ↔ AI/control ↔ medical information systems
Module 02 — Types of Medical Robots
- Surgical (laparoscopic, microsurgical), rehabilitation (exoskeletons, gait training)
- Assistive, imaging/ultrasound positioning, hospital delivery/disinfection/telepresence
- Pharmacy automation: dispensing, inventory, medicine handling
Phase 2 — Anatomy, Physiology & Clinical Workflow (Weeks 3–4)
Module 03 — Human Anatomy
- Skeletal, muscular, nervous, cardiovascular, respiratory systems
- Robotics focus: bones, joints, muscles, spine, brain, vessels, upper/lower limb
Module 04 — Physiology
- Heart, circulation, respiration, nervous system, muscle movement, sensory systems
- Human movement → biomechanics → robot mechanism → assistive device
Module 05 — Clinical Workflow
- Patient journey: registration → consultation → diagnosis → treatment → recovery → follow-up
- Stakeholders: patient, surgeon, nurse, physiotherapist, radiologist, biomedical engineer
Phase 3 — Robotics & Mechatronics (Weeks 5–6)
Module 06 — Robotics Fundamentals
- DOF, joints, links, end effector, manipulator, mobile robot
- Serial, parallel, Cartesian, SCARA, delta, cobot, mobile robot types
Module 07 — Medical Robot Architecture
- Controller → driver → actuator → mechanism → patient interface
- Sensor feedback loop; precision, sterilizability, biocompatibility awareness
Phase 4 — Mechanical Design & CAD (Weeks 7–8)
Module 08 — Mechanical Design
- Materials, gears, belts, lead screws, linkages, bearings, precision mechanisms
- Low backlash, cleanability, ergonomics, reliability for patient contact
Module 09 — CAD for Medical Robotics
- SolidWorks, Fusion, CATIA/Creo awareness
- Design: robotic arm, surgical instrument, exoskeleton joint, patient-support mechanism — 3D model, assembly, BOM
Phase 5 — Electronics & Embedded Systems (Weeks 9–10)
Module 10 — Electronics
- Voltage, current, resistance, power; analog/digital; sensors, motors, drivers, MCUs
Module 11 — Embedded Systems
- Arduino, ESP32, STM32, Raspberry Pi; embedded C/C++, Python
- UART, I2C, SPI, CAN, Ethernet
Phase 6 — Sensors & Actuators (Weeks 11–12)
Module 12 — Medical Robotics Sensors
- Encoders, force/torque/load cells, IMU, temperature, pressure, proximity
- Human interface: EMG, ECG awareness, pressure/optical sensing
Module 13 — Actuators
- DC, BLDC, servo, stepper; linear, pneumatic, series elastic actuators
- Force control and safe compliance for human interaction
Phase 7 — Robot Control & Kinematics (Weeks 13–14)
Module 14 — Robot Kinematics
- Coordinate systems, FK/IK, matrices, homogeneous transforms, Jacobian, workspace
Module 15 — Dynamics & Control
- Velocity, acceleration, torque, force; PID, position/velocity/force control
- Medical: robot ↔ tissue requires position + force + safety, not position alone
Phase 8 — ROS 2 & Robotic Software (Weeks 15–16)
Module 16 — ROS 2
- Nodes, topics, services, actions, messages, parameters, launch, TF
- RViz, Gazebo/Isaac Sim awareness, ROS 2 packages
Module 17 — Medical Robot Simulation
- CAD → robot model → simulation → sensors → controller → motion
- Simulate robotic arm, mobile hospital robot, rehabilitation robot
Phase 9 — Computer Vision & AI (Weeks 17–18)
Module 18 — Computer Vision
- Segmentation, feature detection, object detection, tracking, depth estimation
- Surgical scene analysis, patient monitoring, rehabilitation tracking
Module 19 — AI in Medical Robotics
- Medical image analysis, surgical assistance, movement recognition, anomaly detection
- CNN, object detection, segmentation, multimodal AI awareness
Phase 10 — Medical Imaging (Week 19)
Module 20 — Medical Imaging Fundamentals
- X-ray, CT, MRI, ultrasound, endoscopy; pixels, voxels, resolution, contrast
- DICOM, PACS, medical imaging workflow awareness
Module 21 — Image-Guided Robotics
- Medical image → segmentation → target ID → robot planning → positioning
Phase 11 — Surgical Robotics (Week 20)
Module 22 — Surgical Robotics Fundamentals
- Robotic-assisted surgery, MIS, teleoperation, manipulators, end-effectors
- Surgeon → master console → control → robot → instrument → patient
Module 23 — Surgical Robot Control
- Motion scaling, tremor filtering, force feedback, haptics, collision avoidance
- Engineering via simulation and non-clinical models — not unsupervised clinical procedures
Phase 12 — Rehabilitation Robotics (Week 21)
Module 24 — Rehabilitation Robotics
- Stroke, gait, upper/lower limb rehab; exoskeleton, end-effector robot, orthosis
- Assist-as-needed, force control, impedance control
Module 25 — Biomechanics
- Joint angles, torque, CoM, gait cycle; human walking → required robotic assistance
Phase 13 — Hospital Robotics (Week 22)
Module 26 — Healthcare Service Robots
- Medicine/sample/food/linen delivery, disinfection, telepresence
- Mapping, localization, path planning, obstacle avoidance
Module 27 — Hospital Automation
- Pharmacy → robot → ward → nurse → patient workflow
- Hospital information systems, inventory, scheduling, tracking integration
Phase 14 — Safety & Medical Device Regulation (Week 23)
Module 28 — Medical Device Safety
- Patient, electrical, mechanical, software safety; E-stop, redundancy, fault detection
- Hazard identification, risk analysis, mitigation, verification
Module 29 — Regulatory Awareness
- ISO 13485, ISO 14971, IEC 60601/62304/62366 awareness
- Software lifecycle, usability engineering, risk management; classification depends on device/use
Phase 15 — Human–Robot Interaction (Week 24)
Module 30 — Human-Robot Interaction
- Human factors, ergonomics, trust, usability, cognitive workload, accessibility
- Interfaces: touchscreen, voice, gesture, haptic, mobile — for patient, doctor, nurse, therapist
Phase 16 — Specialization Tracks (Weeks 25–26)
Tracks A–D
- A — Surgical Robotics: teleoperation, haptics, image guidance, surgical simulation
- B — Rehabilitation Robotics: exoskeletons, gait, EMG, assist-as-needed control
- C — Medical AI & Computer Vision: imaging, segmentation, movement analysis
- D — Hospital Service Robotics: SLAM, navigation, delivery, telepresence
Tracks E–H
- E — Medical Device Engineering: product development, V&V, quality systems
- F — Robotic Prosthetics: EMG, actuators, prosthetic control
- G — Medical Robot AI: sensor fusion, autonomous decision support
- H — Digital Twin: physical robot ↔ digital model ↔ patient/workflow data
Phase 17 — RASA Medical Robotics Challenge Capstone (Weeks 27–30)
Capstone options
- Option 1 — Robotic Rehabilitation Arm: sensors, controller, ROS 2, safety, UI
- Option 2 — Autonomous Hospital Robot: LiDAR, SLAM, navigation for sample/medicine delivery
- Option 3 — AI-Assisted Surgical Simulator: teleoperation, motion scaling, non-clinical platform
- Option 4 — EMG Prosthetic Hand: EMG → classifier → motor → hand movement
- Option 5 — AI Rehabilitation System: camera tracks movement, ROM/repetition/symmetry report
- Option 6 — Robotic Ultrasound Positioning: probe positioning + force sensor + safety concepts
Capstone deliverables (25 items)
- Clinical problem, personas, workflow, requirements, architecture, risk analysis
- CAD, electrical, sensor/actuator selection, embedded, ROS 2, control, AI model
- Simulation, prototype, test/validation/safety/usability reports, documentation, demo
Labs, toolkit, portfolio & assessment
Six dedicated labs
- Robotics, Embedded, Medical Sensors, CAD/Simulation, AI/Vision, Medical Robotics Simulation
Software toolkit
- SolidWorks/Fusion/CATIA, ROS 2, Gazebo/Isaac Sim, Python/C++, OpenCV, PyTorch, 3D Slicer, MATLAB
8–10 mini projects
- Arm control, sensor acquisition, force actuator, motion tracking, ROS 2 system, hospital robot sim, image segmentation, EMG hand, rehab robot, AI medical robotics
Assessment framework
- Healthcare (5%), anatomy/physiology (5%), robotics (10%), mechanical/CAD (10%), electronics (10%), embedded (10%), sensors (5%), kinematics/control (10%), ROS 2 (5%), AI/vision (10%), imaging (5%), safety/regulation (5%), capstone (10%)
Five engineering layers: MEDICINE (anatomy + clinical workflow) → MECHANICS (robotics + CAD + biomechanics) → ELECTRONICS (sensors + actuators + embedded + control) → INTELLIGENCE (ROS 2 + CV + AI + imaging) → SAFETY (risk + V&V + HRI + regulatory awareness).
Cross-program links: VLSI & Semiconductor Design · Drone Engineering · Industrial Automation · PLC & Embedded Systems · AI Industry Specializations (Healthcare AI) · CADD (Medical Device Design)
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