Introduction to Autonomous Systems

1. Autonomous
Systems
Group 14

2. Introduction to Autonomous
Systems
● Autonomous systems are machines or systems capable of
performing tasks or functions with a high degree of
independence and without continuous human intervention.
● They utilize sensors, algorithms, and decision-making
processes to perceive and interact with their environment.

3. Importance of Autonomous Systems
Autonomous systems are increasingly vital in various
industries, revolutionizing processes and enhancing
efficiency.
● Enhanced Efficiency: Autonomous systems can operate
continuously without human intervention, leading to
increased productivity and efficiency in various industries.
For example, in manufacturing, autonomous robots can
work around the clock, reducing production time and costs.

4. Importance cont’d
● Improved Safety: By removing humans from potentially
dangerous tasks, autonomous systems can enhance safety
in various domains.
● Exploration and Innovation: Autonomous systems enable
exploration and innovation in fields where human access is
limited or hazardous. For example, autonomous drones and
rovers can explore hostile environments such as space,
deep-sea, or disaster zones, providing valuable data and
insights without risking human lives.

5. Applications
Key applications include:
● Robotics: Autonomous robots for manufacturing, healthcare,
exploration, etc.
● Transportation: Self-driving cars, drones, autonomous ships,
etc.
● Agriculture: Automated farming equipment and drones for
monitoring crops.

6. Applications cont’d
● Healthcare: Surgical robots, robotic prosthetics, and remote
patient monitoring systems.
● Space Exploration: Autonomous rovers and spacecraft for
planetary exploration.
● Military and Defense: Unmanned aerial vehicles (UAVs),
autonomous surveillance systems, etc.

7. Challenges
Safety and reliability concerns: Ensuring that autonomous systems
operate safely and reliably in all conditions.
Ethical and legal considerations: Addressing ethical dilemmas and legal
issues surrounding autonomy, such as liability in case of accidents.

8. Challenges
Technical limitations: Overcoming technical challenges related to
perception, decision-making, and navigation in dynamic environments.
Societal impact: Understanding the broader societal implications of
widespread adoption of autonomous systems, including effects on
employment and privacy.

9. Presentation Outline
● Introduction
● Sensing and Perception
● Decision Making
● Localization and Mapping
● Autonomous Navigation
● Safety and Reliability
● Ethical and Social Implications