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

Definition and types of assistive technologies

Use cases in healthcare, rehabilitation, and daily living

Ethical and social implications of human-assistive AI

Sensors for motion, gaze, and voice detection

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

Real-time feedback and adaptive behavior

Machine learning for personalization and control adaptation

Speech recognition and NLP for command interfaces

Computer vision for gesture tracking and spatial awareness

AI-powered wheelchairs and exoskeletons

Robotic arms and grippers for assisted movement

Rehab robotics for stroke recovery and physical therapy

Integrating sensors, AI, and control loops

Usability testing with target user groups

Evaluation metrics: responsiveness, safety, comfort, autonomy

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

ROS (Robot Operating System)

Python (OpenCV, TensorFlow, PyTorch)

Arduino / Raspberry Pi (for prototyping)

Webots / Gazebo (for simulation)

Students in AI, healthcare, and robotics

Developers creating assistive technologies

Biomedical engineers and HCI researchers

Nonprofits and startups focused on accessibility innovation

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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