MS in Robotic Systems Development
E49232
MS in Robotic Systems Development is a professional graduate program at Carnegie Mellon University’s Robotics Institute that focuses on the practical design, development, and commercialization of advanced robotic systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| MS in Robotic Systems Development canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T390691 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS in Robotic Systems Development Context triple: [Robotics Institute, Carnegie Mellon University, offersProgram, MS in Robotic Systems Development]
-
A.
IEEE Robotics and Automation Magazine
IEEE Robotics and Automation Magazine is a peer-reviewed periodical that features articles, tutorials, and reviews on cutting-edge research and applications in robotics and automation for both academic and industrial audiences.
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B.
Technical Committee on Robot Learning
The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
-
C.
Technical Committee on Mobile Robots
The Technical Committee on Mobile Robots is a specialized IEEE Robotics and Automation Society group that advances research, standards, and collaboration in autonomous and mobile robotics.
-
D.
MIT Laboratory for Information and Decision Systems
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
-
E.
DARPA Robotics Challenge
The DARPA Robotics Challenge was a high-profile international competition that pushed the development of advanced humanoid robots capable of performing complex disaster-response tasks in environments designed for humans.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MS in Robotic Systems Development Target entity description: MS in Robotic Systems Development is a professional graduate program at Carnegie Mellon University’s Robotics Institute that focuses on the practical design, development, and commercialization of advanced robotic systems.
-
A.
IEEE Robotics and Automation Magazine
IEEE Robotics and Automation Magazine is a peer-reviewed periodical that features articles, tutorials, and reviews on cutting-edge research and applications in robotics and automation for both academic and industrial audiences.
-
B.
Technical Committee on Robot Learning
The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
-
C.
Technical Committee on Mobile Robots
The Technical Committee on Mobile Robots is a specialized IEEE Robotics and Automation Society group that advances research, standards, and collaboration in autonomous and mobile robotics.
-
D.
MIT Laboratory for Information and Decision Systems
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
-
E.
DARPA Robotics Challenge
The DARPA Robotics Challenge was a high-profile international competition that pushed the development of advanced humanoid robots capable of performing complex disaster-response tasks in environments designed for humans.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
graduate degree program
ⓘ
professional master’s program ⓘ |
| academicLevel | graduate ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| degreeType | Master of Science ⓘ |
| emphasizes |
hands-on project work
ⓘ
industry-oriented training ⓘ product development in robotics ⓘ systems integration ⓘ |
| fieldOfStudy |
robotic systems engineering
ⓘ
robotics ⓘ |
| focusesOn |
advanced robotic systems
ⓘ
commercialization of robotic systems ⓘ development of robotic systems ⓘ practical design of robotic systems ⓘ |
| hasAbbreviation | MRSD ⓘ |
| hasComponent |
coursework in robotics
ⓘ
industry-relevant practicum or project ⓘ team-based projects ⓘ |
| hasDiscipline |
mechatronics
ⓘ
robotic product management ⓘ robotics engineering ⓘ software for robotics ⓘ |
| hasMode | full-time ⓘ |
| hostInstitutionType | research university ⓘ |
| hostUnitType | robotics research institute ⓘ |
| isProfessionalProgram | true ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn | Pittsburgh, Pennsylvania ⓘ |
| offeredBy |
CMU
ⓘ
surface form:
Carnegie Mellon University
Robotics Institute, Carnegie Mellon University ⓘ
surface form:
Robotics Institute
|
| partOf | School of Computer Science at Carnegie Mellon University ⓘ |
| preparesFor |
careers in robotics product development
ⓘ
careers in robotics startups ⓘ careers in robotics-focused technology companies ⓘ |
| targetAudience |
computer science graduates
ⓘ
engineering graduates ⓘ professionals seeking careers in robotics industry ⓘ |
| website | https://www.ri.cmu.edu/education/academic-programs/mrsd/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: MS in Robotic Systems Development Description of subject: MS in Robotic Systems Development is a professional graduate program at Carnegie Mellon University’s Robotics Institute that focuses on the practical design, development, and commercialization of advanced robotic systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Robotics Institute, Carnegie Mellon University
→
offersProgram
→
MS in Robotic Systems Development
ⓘ