This course focuses on real-world applications of robotics across diverse domains and environments. Learners will explore how robotic systems operate in complex scenarios, including healthcare, extreme environments, and distributed systems.

推荐体验
推荐体验
中级
Basic knowledge of mathematics and an interest in robotics and technology are recommended
推荐体验
推荐体验
中级
Basic knowledge of mathematics and an interest in robotics and technology are recommended
要了解的详细信息

添加到您的领英档案
May 2026
4 项作业
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有4个模块
This week introduces distributed robotic systems, focusing on multi-robot coordination and networked operation. Learners explore cooperative perception, localization, formation control, and task allocation as key elements of multi-robot systems. The second part examines networked robotics, including telerobotics, system properties under communication constraints, and cloud robotics as an enabling paradigm. Together, these topics highlight how connectivity and cooperation extend robotic capabilities.
涵盖的内容
6个视频28篇阅读材料1个作业
6个视频•总计63分钟
- Introduction and cooperative perception•11分钟
- Cooperative localisation and formation control•10分钟
- Multi-robot task allocation, planning and execution•10分钟
- Control spectrum and telerobotics•11分钟
- Properties of networked robots •13分钟
- Cloud robotics•8分钟
28篇阅读材料•总计106分钟
- Classes and cooperation in Multi-Robot Systems•8分钟
- Centralization in Multi-Robot Systems•5分钟
- Technical problems in MRS•2分钟
- Cooperative perception and probabilistic target localization•10分钟
- Centralized and decentralized fusion in Cooperative perception•3分钟
- Cooperative localisation in Multi-Robot Systems•4分钟
- State-space and factored approaches to Cooperative localisation•3分钟
- Formation control and cooperative localisation•3分钟
- Swarming•3分钟
- Formation control methods •8分钟
- Planning, task allocation, and role assignment in Multi-Robot Systems•2分钟
- Synchronisation, coordination and commitment•3分钟
- Discrete event systems for Task plan representation•3分钟
- Task plan analysis problems – DES representation•6分钟
- Task plan representation - Petri Nets•3分钟
- Planning under uncertainty•6分钟
- Introduction•1分钟
- From Mechanical manipulation to Teleoperation•3分钟
- Control spectrum: from direct control to full autonomy•4分钟
- Architecture and information flow in Networked Robot Systems•4分钟
- Properties: state and command representation•3分钟
- Environment representation and Information fusion•3分钟
- Properties: level of autonomy•2分钟
- Properties: Collaborative control and Crowd sourcing•2分钟
- Cloud robotics: resources, data, and computation•5分钟
- Open-source platforms and collective robot learning•3分钟
- Crowdsourcing and call centers•1分钟
- Fog robotics•3分钟
1个作业•总计30分钟
- Distributed and Networked Robotic•30分钟
This week explores robotic applications in healthcare, focusing on surgery, limb substitution, and assistive services. Learners analyze how robots enhance precision, support rehabilitation, and improve quality of life. The week emphasizes safety, reliability, and human-centered design in medical contexts. Through these applications, robotics is presented as a key technology for addressing societal and demographic challenges.
涵盖的内容
3个视频17篇阅读材料1个作业
3个视频•总计21分钟
- Robots for surgery•9分钟
- Robots for limb substitution•8分钟
- Robots for assistive services•5分钟
17篇阅读材料•总计53分钟
- Fundamentals of surgical robotics: past, present and beyond•4分钟
- Computer-Assisted Surgery (CAS): key-modules•4分钟
- Tracking technologies, with focus on optical and electromagnetic-based localizers•3分钟
- Computer-Assisted Surgery (CAS): classification•4分钟
- Regulation and safety in surgical robotics•3分钟
- Lesson learned and future directions•2分钟
- Clinical needs•2分钟
- Physical and cognitive human-robot interaction•2分钟
- Classification and requirements of robotic prostheses•5分钟
- Kinematics and actuation of Robotic limbs•4分钟
- Sensing strategies•1分钟
- Representative applications and Commercial prosthetic devices•4分钟
- Common requirements and features•1分钟
- Physical and cognitive human robot interaction•2分钟
- User-centered and co-creative design for Assistive robots•3分钟
- Social robots for education and Neurodevelopmental support•4分钟
- Assistive robots for ageing, care, and physical activity•5分钟
1个作业•总计30分钟
- Medical Robotics•30分钟
This week focuses on robots operating in aerial and space environments. Learners study unmanned aerial vehicles, including their modeling, control, and estimation, as well as their autonomous functionalities. The second part introduces orbital robotics, covering kinematics, dynamics, and motion control in space. These domains highlight the challenges of autonomy, limited communication, and operation in extreme conditions.
涵盖的内容
6个视频34篇阅读材料1个作业
6个视频•总计48分钟
- Unmanned aerial vehicles•7分钟
- Modelling, control and estimation of UAVs•6分钟
- Autonomous functionalities•7分钟
- Introduction to Orbital Robotics•9分钟
- Modelling of the orbital robots kinematics and dynamics•8分钟
- Motion control of orbital robots•10分钟
34篇阅读材料•总计129分钟
- UAVs, UAS, and aerial robots: basic concepts•3分钟
- UAV platforms•2分钟
- Unmanned aerial vehicles with physical interactions•1分钟
- Decision and control architectures•3分钟
- Multiple unmanned aerial systems•3分钟
- Modelling of UAVs•2分钟
- Multirotor modeling and control•8分钟
- Fixed-Wing UAV modeling and control•6分钟
- Sensors for UAV navigation•4分钟
- Estimation - Complementary filter•4分钟
- Kalman Filtering for UAV State estimation•5分钟
- Introduction to Autonomous functionalities•1分钟
- Path Planning with graph-based methods•5分钟
- Rapidly exploring Random Trees (RRT)•4分钟
- Collision detection and avoidance•8分钟
- Localisation in GNSS denied environments•2分钟
- Orbital robotics and its challenges•2分钟
- High-level tasks for orbital robots•2分钟
- Robot configurations and dynamical properties•2分钟
- Operational modes•7分钟
- Past and future activities in Orbital robotics•5分钟
- Capturing a tumbling target satellite•3分钟
- Spatial descriptions•3分钟
- Kinematics•3分钟
- Orbital dynamics, momentum, and Gyrostatic bodies•4分钟
- Equations of motion of a two-body system leading to an open kinematic chain•2分钟
- Free-floating robot dynamics: generalized Jacobian and dynamic singularities•10分钟
- Advanced dynamic formulations for control•4分钟
- GNC architecture•1分钟
- Motion planning for Orbital robot tasks•10分钟
- State estimation•3分钟
- Jacobian-based control•2分钟
- Regulation and tracking control for free-floating and free-flying robots•3分钟
- Momentum-based control and contact handling in Orbital robotics•2分钟
1个作业•总计30分钟
- Aerial and Space Robotics•30分钟
This week explores robots operating in underwater and disaster-response scenarios, both characterized by challenging and unstructured environments. The first part focuses on underwater robotics, covering system components such as sensors and actuators, as well as navigation, guidance, and control strategies under constraints of limited visibility and communication. The second part introduces rescue robotics, examining the nature of disasters, criteria for selecting robotic platforms, and the use of different modalities in emergency response. The week concludes with methods for testing and evaluating rescue robots, emphasizing reliability and performance in critical missions
涵盖的内容
8个视频21篇阅读材料1个作业
8个视频•总计56分钟
- Underwater Robotic pt.1•9分钟
- Underwater Robotics pt.2•9分钟
- Introduction to Rescue robots•2分钟
- What are disasters?•6分钟
- How do responders choose robots•4分钟
- How are each of the modalities used?•18分钟
- How do we test and evaluate rescue robots?•6分钟
- Summary•3分钟
21篇阅读材料•总计54分钟
- Marine Robots: types, applications, and design factors•3分钟
- Navigation, guidance & control•1分钟
- Where is my robot? Reference systems•3分钟
- Vehicle pose and velocity representation•3分钟
- Dynamics•1分钟
- Sensors•1分钟
- Actuators•2分钟
- Navigation, guidance & control•1分钟
- Navigation•2分钟
- Guidance and control of underwater vehicles•4分钟
- What to read next•3分钟
- Getting started•2分钟
- Incidents vs. disasters•3分钟
- Disaster life-cycle•3分钟
- What makes disasters different for robots?•2分钟
- How do responders choose robots?•4分钟
- Uncrewed ground vehicles•4分钟
- Uncrewed aerial vehicles•5分钟
- Uncrewed marine vehicles•5分钟
- Testing and evaluation•1分钟
- Lessons learned and future needs in Disaster robotics•1分钟
1个作业•总计30分钟
- Underwater and Rescue Robotics•30分钟
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
位教师

提供方

提供方

Founded in 1224, Federico II is the oldest lay University in Europe. With its "Federica Web Learning" Center, it is the leader in Europe for open access multimedia education, and in the world's top ten for the production of MOOCs for providing new links between higher education and lifelong learning. Find out more on www.federica.eu.
从 Electrical Engineering 浏览更多内容
UUniversità di Napoli Federico II
课程
UUniversità di Napoli Federico II
课程
人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金,



