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Definition:
The design, construction, and operation of robots — machines capable of performing tasks autonomously or with human-like abilities.
Interdisciplinary Nature:
Building robots requires collaboration across fields:
Mechanical Engineering → physical structure, movement, and durability.
Electronics/Electrical Engineering → sensors, circuits, and control systems.
Artificial Intelligence (AI) → perception, decision-making, and adaptive intelligence.
Role of AI:
AI provides robots with decision-making and perception abilities, enabling interaction with their environment via sensors and cameras.
Multi-Model AI Systems in Robotics:
Computer Vision: Object detection, scene understanding.
SLAM (Simultaneous Localization and Mapping): Navigation and real-time mapping.
Reinforcement Learning: Adaptive, trial-and-error decision-making.
Natural Language Processing (NLP): Human-robot communication through speech and text.
Industrial Automation:
Robots (e.g., Tesla Bot) being developed for repetitive, hazardous, or labor-intensive tasks.
Medical Robotics:
Surgical robots and assistive technologies performing precise, minimally invasive procedures.
Broader Applications:
Agriculture: Harvesting robots.
Domestic Use: Cleaning robots, smart assistants.
Exploration: Space robots (e.g., Mars rovers).
Emergency Response: Search-and-rescue robots.
Security: Surveillance and defense robots.
