AI-Powered Robotics & Assistive Technologies: Empowering Accessibility and Autonomy

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Course Modules:

Module 1: Introduction to Assistive Robotics

Definition and types of assistive technologies

Use cases in healthcare, rehabilitation, and daily living

Ethical and social implications of human-assistive AI

Module 2: Components of Assistive Robotic Systems

Sensors for motion, gaze, and voice detection

Actuators, controllers, and safe human-robot interaction (HRI)

Real-time feedback and adaptive behavior

Module 3: AI Techniques for Adaptability

Machine learning for personalization and control adaptation

Speech recognition and NLP for command interfaces

Computer vision for gesture tracking and spatial awareness

Module 4: Mobility, Manipulation & Rehabilitation Robotics

AI-powered wheelchairs and exoskeletons

Robotic arms and grippers for assisted movement

Rehab robotics for stroke recovery and physical therapy

Module 5: System Integration and Testing

Integrating sensors, AI, and control loops

Usability testing with target user groups

Evaluation metrics: responsiveness, safety, comfort, autonomy

Module 6: Capstone Project – Design an Assistive AI System

Choose an application (e.g., robotic walker, smart assistant arm)

Simulate or prototype basic functionality

Submit concept overview, system design, simulation/video, and user-centered analysis

Tools & Technologies Used:

ROS (Robot Operating System)

Python (OpenCV, TensorFlow, PyTorch)

Arduino / Raspberry Pi (for prototyping)

Webots / Gazebo (for simulation)

Target Audience:

Students in AI, healthcare, and robotics

Developers creating assistive technologies

Biomedical engineers and HCI researchers

Nonprofits and startups focused on accessibility innovation

Global Learning Benefits:

Build life-changing technologies that empower users

Understand user-centered design for robotics

Learn AI applications in healthcare and accessibility

Contribute to inclusive, ethical, and human-focused innovation

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