General Robotics, Automation, Sensing and Perception Laboratory
E825527
The General Robotics, Automation, Sensing and Perception Laboratory is a leading University of Pennsylvania research lab focused on advancing robotics, computer vision, automation, and related fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| General Robotics, Automation, Sensing and Perception Laboratory canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9841089 — 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: General Robotics, Automation, Sensing and Perception Laboratory Context triple: [GRASP Laboratory, fullName, General Robotics, Automation, Sensing and Perception Laboratory]
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A.
Field Robotics Center at Carnegie Mellon University
The Field Robotics Center at Carnegie Mellon University is a leading research institute specializing in the development of advanced autonomous robots for challenging and unstructured environments such as space, deep sea, and disaster zones.
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B.
Robotics Institute, Carnegie Mellon University
The Robotics Institute at Carnegie Mellon University is a leading research and education center dedicated to advancing the science and technology of robotics and artificial intelligence.
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C.
Institute for Robotics and Intelligent Machines
The Institute for Robotics and Intelligent Machines is a research center focused on advancing robotics, artificial intelligence, and autonomous systems through interdisciplinary collaboration.
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D.
National Robotics Engineering Center
The National Robotics Engineering Center is a leading research and development facility at Carnegie Mellon University specializing in advanced robotics and autonomous systems for real-world applications.
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E.
ACM Special Interest Group on Robotics and Automation
The ACM Special Interest Group on Robotics and Automation (SIGART/SIGROBOTICS) is a professional community within the Association for Computing Machinery that focuses on advancing research, education, and collaboration in robotics, automation, and human-robot interaction.
- 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: General Robotics, Automation, Sensing and Perception Laboratory Target entity description: The General Robotics, Automation, Sensing and Perception Laboratory is a leading University of Pennsylvania research lab focused on advancing robotics, computer vision, automation, and related fields.
-
A.
Field Robotics Center at Carnegie Mellon University
The Field Robotics Center at Carnegie Mellon University is a leading research institute specializing in the development of advanced autonomous robots for challenging and unstructured environments such as space, deep sea, and disaster zones.
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B.
Robotics Institute, Carnegie Mellon University
The Robotics Institute at Carnegie Mellon University is a leading research and education center dedicated to advancing the science and technology of robotics and artificial intelligence.
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C.
Institute for Robotics and Intelligent Machines
The Institute for Robotics and Intelligent Machines is a research center focused on advancing robotics, artificial intelligence, and autonomous systems through interdisciplinary collaboration.
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D.
National Robotics Engineering Center
The National Robotics Engineering Center is a leading research and development facility at Carnegie Mellon University specializing in advanced robotics and autonomous systems for real-world applications.
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E.
ACM Special Interest Group on Robotics and Automation
The ACM Special Interest Group on Robotics and Automation (SIGART/SIGROBOTICS) is a professional community within the Association for Computing Machinery that focuses on advancing research, education, and collaboration in robotics, automation, and human-robot interaction.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic research group
ⓘ
research laboratory ⓘ robotics laboratory ⓘ university laboratory ⓘ |
| academicDiscipline |
computer science
ⓘ
electrical engineering ⓘ engineering ⓘ mechanical engineering ⓘ |
| affiliation | University of Pennsylvania NERFINISHED ⓘ |
| city | Philadelphia ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| fieldOfWork |
aerial robotics
ⓘ
artificial intelligence ⓘ automation ⓘ autonomous systems ⓘ computer vision ⓘ control systems ⓘ ground robotics ⓘ human-robot interaction ⓘ machine learning ⓘ multi-robot systems ⓘ perception ⓘ robot learning ⓘ robot motion planning ⓘ robotic manipulation ⓘ robotics ⓘ sensing ⓘ |
| hasDomain | robotics.grasp.upenn.edu ⓘ |
| languageOfWork | English ⓘ |
| locatedIn | Philadelphia, Pennsylvania, United States NERFINISHED ⓘ |
| notableFor |
contributions to autonomous systems
ⓘ
contributions to computer vision ⓘ interdisciplinary robotics research ⓘ leading robotics research ⓘ |
| organizationType | university research lab ⓘ |
| partOf | School of Engineering and Applied Science, University of Pennsylvania NERFINISHED ⓘ |
| researchFocus |
advancing automation
ⓘ
advancing computer vision ⓘ advancing robotics ⓘ autonomous navigation ⓘ distributed robotics ⓘ robot control ⓘ robot perception ⓘ robot sensing ⓘ robotic vision ⓘ |
| sector | higher education ⓘ |
| shortName |
GRASP Lab
NERFINISHED
ⓘ
GRASP Laboratory NERFINISHED ⓘ |
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: General Robotics, Automation, Sensing and Perception Laboratory Description of subject: The General Robotics, Automation, Sensing and Perception Laboratory is a leading University of Pennsylvania research lab focused on advancing robotics, computer vision, automation, and related fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.