Page 26 - Toucpad robotics C11

Example: A service robot in a hospital might use NLP to understand a nurse’s spoken request like, “Please deliver
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medication to Room 305,” and then execute the task.
Path Planning and Navigation Algorithms
Concept: These AI algorithms are crucial for autonomous robots to move intelligently from one point to another while
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avoiding obstacles and optimising their path (e.g., shortest distance, fastest time).
Process:
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Mapping: Creating a representation of the environment (e.g., a 2D map of a room or a 3D model of an outdoor
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area) using sensor data.
Localisation: Determining the robot’s precise position within that map.
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Path Planning: Calculating an optimal path from the current location to the target location, considering obstacles
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and robot capabilities.
Motion Control: Executing the planned path by sending commands to the robot’s actuators.
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Applications:
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Autonomous Vehicles: Navigating complex road networks.
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Warehouse Robots: Moving goods efficiently between storage locations.
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Delivery Robots: Delivering packages in urban environments.
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Object Recognition
and Classification

Predictive
Supervised Learning
Maintenance
Machine Learning
Reinforcement Learning Robotic Grasping

Autonomous
Object Detection and Tracking
Navigation

Scene Understanding
Computer Vision Self-Driving Car
Visual Servoing

Quality Inspection

Voice Control

Natural Language
Processing Human-Robot Interaction Service Robot

Chatbots and Virtual Assistants

Mapping

Localisation
Path Planning and Autonomous Vehicles
navigation Algorithms
Path Planning

Motion Control

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Touchpad Robotics - XI