Università di Napoli Federico II

Robotics & Robots Specialization

Università di Napoli Federico II

Robotics & Robots Specialization

Master Robotic Systems and Autonomous Technologies.

Gain a complete understanding of robotic methodologies, technologies, and real-world applications

Bruno Siciliano

Instructor: Bruno Siciliano

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

8 weeks to complete
at 4 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

8 weeks to complete
at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the core methodologies that enable robotic perception, reasoning, and action, including sensing, estimation, control, and decision-making

  • Analyze how robotic technologies such as embodiment, human–robot interaction systems, and SLAM support intelligent and autonomous behavior

  • Evaluate how design choices and advanced robotic platforms (e.g., humanoids, soft robots) shape interaction and system capabilities

  • Assess the impact of robotics across applications in healthcare, industry, extreme environments, and distributed robotic systems

Details to know

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Taught in English
Recently updated!

May 2026

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from Università di Napoli Federico II

Specialization - 3 course series

Robotic Methodologies

Robotic Methodologies

Course 1, 11 hours

What you'll learn

Skills you'll gain

Category: Analytical Skills
Category: Critical Thinking
Category: Problem Solving
Category: Applied Mathematics
Category: Systems Thinking
Category: Data Ethics
Category: Mechanical Design
Robotic Technologies

Robotic Technologies

Course 2, 10 hours

What you'll learn

  • Understand how embodiment affects robotic design and capabilities

  • Explain technologies enabling human–robot interaction

  • Analyze advanced robotic platforms such as humanoids and soft robots

  • Describe SLAM as a core enabling technology for autonomy

Skills you'll gain

Category: Problem Solving
Category: Systems Thinking
Category: Robotics
Category: Model Optimization
Category: Analytical Skills
Robot Applications

Robot Applications

Course 3, 11 hours

What you'll learn

Skills you'll gain

Category: Mathematical Modeling
Category: Control Systems
Category: Distributed Computing
Category: Safety Assurance
Category: Robotics
Category: Disaster Recovery
Category: Communication Systems
Category: Emergency Response
Category: Problem Solving
Category: Critical Thinking
Category: Human Centered Design

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Instructor

Bruno Siciliano
Università di Napoli Federico II
1 Course595 learners

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