AI-Powered Surgical & Interventional Robotics - 15 Days
AI Surgical Robotics - 15 Days ₹199. Build AI-driven surgical robots.
Course Overview
Program Description
Skills You'll Learn
Projects You'll Work On
Live Project: AI-Controlled Surgical Robot Simulation
Build an AI-powered surgical robot simulation with: Mechatronic design in CAD, ROS-based surgical simulation, Deep reinforcement learning for control, Medical image segmentation, Real-time decision making, Teleoperation interface, Safety compliance checklist.
Program Modules
D1: Introduction to Surgical Robotics
Overview of surgical robotics, history, current systems (da Vinci, Mako), clinical applications. Setting up development environment.
D2: Mechatronic Design for Surgical Robots
CAD fundamentals (SolidWorks), robot anatomy, degrees of freedom, kinematics. Design surgical robot components.
D3: Medical Image Segmentation
Medical imaging modalities (CT, MRI, Ultrasound), image processing, segmentation techniques. Segment organs from CT scans.
D4: Robot Kinematics & Control
Forward/inverse kinematics, Jacobian, trajectory planning. Implement kinematics calculations in Python.
D5: Introduction to ROS/ROS2
ROS basics, nodes, topics, services, surgical robot simulation. ROS node development with Python.
D6: Deep Learning for Surgical Robotics
CNN architectures, medical image analysis, surgical tool detection. Build CNN for surgical instrument detection.
D7: Reinforcement Learning for Robotics
RL fundamentals, Q-learning, policy gradients, simulation environments. Implement RL for robotic control.
D8: Deep Reinforcement Learning in Surgery
Deep Q-Networks, Policy Gradient methods, surgical environment simulation. Train DRL model for surgical tasks.
D9: Robot-Assisted Surgical Simulation
Gazebo simulation, surgical environment setup, robotic arm control. Simulate surgical robot in Gazebo.
D10: Real-Time Decision Making
Real-time system design, latency requirements, safety-critical systems. Implement real-time control loop.
D11: Haptic Feedback & Teleoperation
Haptic feedback systems, teleoperation, master-slave control. Build teleoperation interface.
D12: Surgical Navigation & Tracking
Image-guided surgery, registration, tracking systems. Implement surgical navigation system.
D13: Safety & Regulatory Compliance
FDA regulations (ISO 13485), risk management, safety standards for surgical robots. Draft regulatory compliance checklist.
D14: Project Development
Build complete AI-powered surgical robot simulation. Full system integration and testing.
D15: Project Presentation & Certification
Final project demo, viva voce, course wrap-up. Present prototype and receive certificate.
Key Features
What You'll Learn
Examination Details
| Exam Name | Full Marks | Pass Marks |
|---|---|---|
| Module-wise Assessment | 100 | 40 |
| Practical Lab Assessment | 100 | 40 |
| Project Evaluation | 100 | 40 |
| Project Viva | 100 | 40 |
Internship Details
Prerequisites
- Basic Python/C++ programming knowledge
- Understanding of mathematics (matrices, vectors)
- Interest in surgical robotics
- Biomedical or Engineering background preferred
Who Can Enroll ?
- B.Tech/M.Tech Biomedical Engineering students
- B.Tech/M.Tech Robotics/Automation students
- B.Tech ECE/EEE/CSE students
- Medical device professionals
- Robotics researchers
Certificate Preview
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