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Impact: Accelerated rehabilitation, improved quality of life for individuals with mobility challenges, and personalised
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care delivery.
Example: An exoskeleton robot designed for stroke rehabilitation uses sensors to measure a patient’s leg strength
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and movement. An AI system then analyses this data and adjusts the level of assistance provided by the exoskeleton
in real-time, gradually reducing support as the patient gains strength, thereby optimising their recovery.
Robots for Hospital Logistics and Disinfection
Concept: Autonomous robots are increasingly used in hospitals for mundane but essential tasks like delivering
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medicines, linen, or food, and for automated disinfection of rooms.
AI/ML Application: Similar to AMRs in manufacturing, these robots use AI-powered navigation and mapping to move
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around complex hospital layouts, avoid staff and patients, and navigate elevators. ML helps them learn efficient
delivery routes and schedules. For disinfection robots, AI ensures comprehensive coverage of surfaces.
Impact: Improved efficiency in hospital operations, reduced workload for human staff, enhanced hygiene and
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infection control, and increased safety for staff by handling potentially contaminated materials.
Example: During a pandemic, a UV-C light disinfection robot autonomously patrols hospital rooms after patient
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discharge. Its AI mapping ensures every surface is exposed to the germ-killing UV light for the optimal duration,
reducing human exposure to contaminated areas.
VIDEO SESSION Century #Digital Literacy
21 st
Skills
Scan the QR code or visit the following link to watch the video:
Sensors used in Robots
https://www.youtube.com/watch?v=_8VSTA7hfXA
After watching the video, answer the following questions:
1. How does a proximity sensor detect nearby objects without physical contact?
2. What is the purpose of a tilt sensor?
Autonomous Vehicles
30
Touchpad Robotics - XI

