Chapter 1: Introduction to Advanced Robotics
6 sections
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Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Robotics has evolved from rigid, task-specific machines to intelligent, adaptive systems.
- The field encompasses a wide range of applications in industries, homes, defense, and research.
- There are significant differences between traditional and intelligent robots in terms of their functionality and interaction with humans.
- Current research frontiers include AI, perception, navigation, and soft robotics.
- The essential components that form the architecture of advanced robotic systems include mechanical structure, sensors, and control algorithms.
Key Concepts
- -- Advanced Robotics
- Intelligent machines that can sense, decide, and act in dynamic environments, as opposed to classical robots that perform predefined tasks in controlled settings.
- -- HumanRobot Interaction (HRI)
- The design and study of robots that can understand and respond to human communication, including speech and gestures.
- -- Swarm Robotics
- A subfield of robotics that examines how large groups of simple robots can collaborate to accomplish complex tasks.
- -- Soft Robotics
- Robotics using flexible and bio-inspired materials to create robots that can safely interact with humans.
- -- Simultaneous Localization and Mapping (SLAM)
- An algorithmic approach that allows a robot to map its surroundings while keeping track of its own location within that map.
Additional Learning Materials
Supplementary resources to enhance your learning experience.