Module 7: Mobile Robots

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85 Terms

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Mobile Robots

are automated machines capable of movement in different environments.

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Mobile Robots

can navigate various terrains and perform diverse tasks, ranging from simple material handling to complex search and rescue operations.

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Wheeled Robots

Most common type, known for stability and energy efficiency

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Wheeled Robots or Legged Robots

Used in manufacturing, transportation, and domestic settings

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Legged Robots

Mimic animal locomotion, allowing navigation in rough or uneven terrain

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Aerial Robots (Drones)

Fly through the air, used for surveillance, aerial photography, and in agriculture for crop monitoring

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Aquatic Robots

Operate underwater, used in marine research, underwater exploration, and in environmental monitoring

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Shakey the Robot

The First Electronic Person

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Shakey the Robot

was the first mobile robot able to perceive and reason about its surroundings.

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Shakey the Robot

This early robot became an archetype from which subsequent robots were built and significantly influenced modern robotics and AI techniques

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Shakey

obtained its name from the way it could shake when it came to an abrupt stop. This was after a month of its creators trying to find a suitable name for the machine

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Stanford Cart

initially created to study driving a vehicle on the Moon remotely from Earth

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Stanford Cart

it was reconfigured at the Stanford Artificial Intelligence Laboratory to experiment with the idea of self-driving vehicles

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Spirit and Opportunity

names of the Adventure Twins

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90, Opportunity, 15, Mars, odometer

Both rovers lived well beyond their planned __-day missions. _____ worked nearly __ years on ____ and broke the driving record for putting the most miles on the _____ (an instrument for measuring the distance traveled by a vehicle)

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Autonomous Decision-Making

AI and ML have enabled mobile robots to make independent decisions based on data analysis and learning from past experiences. This autonomy is crucial in unstructured environments where predefined rules are insufficient.

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Advanced Perception and Recognition

Integration of ML algorithms allows robots to interpret complex sensory data, recognize patterns, and even understand human behavior to a certain extent. This capability is vital for tasks like navigation, obstacle detection, and interaction with humans and other robots

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Enhanced Sensory Perception

The evolution of sensor technology, including LIDAR, ultrasonic, infrared, and tactile sensors, has dramatically improved a robot's ability to perceive its environment. High-resolution sensors provide detailed environmental data, enabling more precise navigation and interaction.

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Sensor Fusion

Combining data from multiple types of sensors (sensor fusion) has allowed for more accurate and reliable perception. This synergy helps in creating a comprehensive understanding of the surroundings, essential for complex tasks like SLAM (Simultaneous Localization and Mapping).

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Improved Path Planning and Navigation

Advancements in robotics software have led to more efficient and intelligent path planning algorithms. These algorithms enable mobile robots to navigate efficiently, even in dynamic or unpredictable environments.

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Machine Vision

Progress in computer vision has allowed robots to not only capture visual data but also to process and interpret it in meaningful ways. This is crucial for tasks that require recognition of objects, symbols, or even gestures.

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Connected Robotics

The integration with IoT (Internet of Things) enables mobile robots to communicate and collaborate with other devices and systems, enhancing their functionality and scope of applications.

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Cloud Robotics

Leveraging cloud computing allows for powerful data processing and storage capabilities. It enables robots to access vast amounts of data and computational power, facilitating more complex tasks and learning processes.

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Lightweight and Durable Materials

The use of advanced materials has led to the development of lighter, more durable robots that can operate for longer periods and in harsh environments

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Modular and Flexible Design

Innovations in design have led to modular and adaptable robots that can be customized for specific tasks or environments, increasing their utility and efficiency

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Sensors

Robots use _____ to understand and navigate their environment

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Sensors

This includes cameras, LIDAR, ultrasonic sensors, and infrared sensors.

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Actuators

are the 'muscles' of robots. They convert energy into motion, enabling the robot to move, lift, or manipulate objects.

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motors and hydraulic or pneumatic systems

Common types of actuators include

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Controllers

The 'brain' of the robot. Controllers process data received from sensors and send commands to the actuators.

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Controllers

They are typically comprised of microprocessors or computers running sophisticated software algorithms.

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Locomotion

refers to the various ways robots move and adapt to different surfaces or terrains.

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Wheels and Track

A locomotion method common in industrial and domestic robots for stable and energy-efficient movement

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Legs

A locomotion method that provide versatility in uneven terrains, mimicking animal or human movement. Used in exploratory or rescue robots.

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Propellers (in Aerial Robots)

A locomotion method that allows flight by generating lift, used in drones for tasks ranging from aerial photography to delivery services

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GPS technology

_____ is predominantly used for outdoor navigation.

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GPS technology

It provides robots with precise geolocation information, which is essential for tasks like route planning, surveying, and long-distance travel.

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GPS

By receiving signals from a network of satellites, ___ enables robots to determine their exact location on Earth.

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GPS

is less effective indoors or in areas where satellite signals are obstructed, like dense urban environments or underground.

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SLAM technology

_____ allows robots to create a map of an unknown environment while simultaneously tracking their own location within that map. This is particularly important for indoor navigation where GPS signals are not reliable.

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SLAM

_____ typically involves the integration of various sensors such as cameras, LIDAR, and inertial measurement units.

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Simultaneous Localization and Mapping (SLAM)

Application: Robotic Vacuum Cleaners

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Path planning, most

_____ involves calculating the least/most efficient route from one point to another. This process takes into account the robot's physical dimensions, movement capabilities, and the characteristics of the environment.

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Obstacle detection and avoidance

One of the primary concerns in path planning is _____ and _____

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sensor data

Robots use ___ ___ to identify potential obstacles and alter their path accordingly.

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shortest distance, least energy consumption, safety, and speed

Optimization Factors: These algorithms optimize for various factors like shortest/longest _____, least/most ____ _____, ____, and ____.

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Sensing

It involves the use of various sensors to gather data about the robot's surroundings, which is essential for safe and effective operation.

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Light Detection and Ranging (LIDAR) Sensors

use laser light to measure distances. They emit laser beams and measure the time taken for the light to return after hitting an object, allowing for precise distance calculations.

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Cameras

capture visual data, providing an essential input for processing and interpreting the environment. This includes color, texture, shape, and movement.

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Ultrasonic Sensors

use high-frequency sound waves to detect objects and measure distances.

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Ultrasonic Sensors, sound pulses, time, echo

_____ ____ emit ___ ____ and measure the ____ it takes for the ____ to return.

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Infrared sensors

detect infrared light emitted from objects in their vicinity.

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Infrared Sensors, heat, movement, warmth, motion

____ are capable of sensing ___and ____, making them useful in various applications. Their ability to detect ____ and ____ makes them suitable for security applications, like intruder detection, and for environmental monitoring, such as detecting changes in temperature or the presence of living beings.

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Perception

a digital construct or model of the real world as interpreted by the robot's sensors and algorithms which includes not just static features like walls or furniture but also dynamic elements like moving people, animals, or other robots.

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Construction Robots, Industrial Robots, Medical Robots, Domestic Robots, Space Exploration Robots, Underwater Robots

6 Applications of Mobile Robots

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Construction Robots

Applications of Mobile Robots

<p>Applications of Mobile Robots</p>
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Industrial Robots

Applications of Mobile Robots

<p>Applications of Mobile Robots</p>
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Medical Robots

Applications of Mobile Robots

<p>Applications of Mobile Robots</p>
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Domestic Robots

Applications of Mobile Robots

<p>Applications of Mobile Robots</p>
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Space Exploration Robots

Applications of Mobile Robots

<p>Applications of Mobile Robots</p>
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Underwater Robots

Applications of Mobile Robots

<p>Applications of Mobile Robots</p>
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Autonomy

Challenges

Improving decision-making capabilities for complex, unstructured environments

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Battery Life and Power Efficiency

Challenges

Extending operational time and finding sustainable power solutions.

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Cost and Accessibility

Challenges

Making advanced robotics more affordable and accessible to a wider range of users and industries.

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Safety and Reliability

Challenges

Ensuring robots can operate safely alongside humans in diverse settings

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AI and ML Integration

Emerging Trends and Future Directions

Advancing AI algorithms for better perception, decision-making, and adaptability.

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Human-Robot Interaction (HRI)

Emerging Trends and Future Directions

Enhancing interfaces and communication methods for seamless collaboration between humans and robots.

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Swarm Robotics

Emerging and Future Directions

Developing coordinated systems where multiple robots operate together to achieve complex tasks.

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Soft Robotics

Emerging Trends and Future Directions

Creating robots with flexible materials that can safely interact with humans and delicate environments.

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Haptics

The ability of the robot to feel

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100

By paper, we can design robots up to ___ number of wheels for engineering applications.

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Mars Rover and Spot Mini

2 examples of wheeled robots

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Cheetah Robot

Example of Legged Robot made by MIT

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Centauro

A hybrid (Leg and wheel) robot

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Fish Eye Bounding Box

used as a representation specifically designed for Fish Eye cameras. Used to identify the kind of fish that is seen underwater.

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Stanford cart

One of the earliest examples of robots that is capable of autonomous navigation.

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Autonomous, Mobile Robotics, Human-Robot Interaction, Drone Navigation

Applications of Sensor Fusion

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VEX Robotics

a robotics program for middle schoolers that is based on the United States

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Sensors

____ performs Data Collection

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Controllers

____ are responsible for any Data Processing and Decision-Making

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Actuators

____ performs Action Implementation

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Trilateration

GPS uses concept called Trilateration/Triangulation that determines the position using geometric properties of skills

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Global Positioning System (GPS), Simultaneous Localization and Mapping (SLAM)

____ is best used for Outdoor Navigation

____ is usually used for Indoor Settings

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Live Detection and Ranging, Mall Map, floors, ceilings, light

SLAM typically uses ___.

Example: ___.

Limitations:

1. cannot see ___ and ___.

2. ____reflections.

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Cost Function

Objective of Path Planning Algorithms:

To minimize the ___ ____ (may also be defined in relation to obstacle distance and solved for the
minima for obstacle avoidance)