GRASP Laboratory
E239226
The GRASP Laboratory is a renowned robotics and perception research lab at the University of Pennsylvania known for pioneering work in autonomous systems, drones, and computer vision.
All labels observed (2)
| Label | Occurrences |
|---|---|
| GRASP Laboratory canonical | 3 |
| GRASP | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2170251 — 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: GRASP Laboratory Context triple: [Vijay Kumar, memberOf, GRASP Laboratory]
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A.
Geospatial Research Laboratory
The Geospatial Research Laboratory is a U.S. Army research facility focused on developing advanced geospatial, terrain, and environmental technologies to support military engineering and operations.
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B.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
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C.
Information Technology Laboratory
The Information Technology Laboratory is a research unit within the U.S. Army Engineer Research and Development Center that focuses on advanced computing, software, and information technology solutions to support military engineering and operations.
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D.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
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E.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
- 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: GRASP Laboratory Target entity description: The GRASP Laboratory is a renowned robotics and perception research lab at the University of Pennsylvania known for pioneering work in autonomous systems, drones, and computer vision.
-
A.
Geospatial Research Laboratory
The Geospatial Research Laboratory is a U.S. Army research facility focused on developing advanced geospatial, terrain, and environmental technologies to support military engineering and operations.
-
B.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
-
C.
Information Technology Laboratory
The Information Technology Laboratory is a research unit within the U.S. Army Engineer Research and Development Center that focuses on advanced computing, software, and information technology solutions to support military engineering and operations.
-
D.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
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E.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic research laboratory
ⓘ
computer vision research laboratory ⓘ robotics research laboratory ⓘ |
| acronym |
GRASP
ⓘ
linked to:
GRASP Laboratory
|
| affiliation |
School of Engineering and Applied Science, University of Pennsylvania
ⓘ
University of Pennsylvania ⓘ |
| campus |
University of Pennsylvania campus
ⓘ
linked to:
University of Pennsylvania
|
| city | Philadelphia ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| field |
artificial intelligence
ⓘ
autonomous systems ⓘ computer vision ⓘ perception ⓘ robotics ⓘ |
| fullName | General Robotics, Automation, Sensing and Perception Laboratory ⓘ |
| hosts |
faculty researchers in robotics
ⓘ
graduate students in robotics and perception ⓘ postdoctoral researchers in robotics ⓘ |
| knownFor |
pioneering work in autonomous systems
ⓘ
pioneering work in computer vision ⓘ pioneering work in drones ⓘ pioneering work in robotics ⓘ research in aerial robotics ⓘ research in autonomous vehicles ⓘ research in computer vision algorithms ⓘ research in human-robot interaction ⓘ research in manipulation and grasping ⓘ research in multi-robot systems ⓘ research in robot learning ⓘ research in robot perception ⓘ |
| languageOfWork | English ⓘ |
| name | GRASP Laboratory ⓘ |
| organizationType | university laboratory ⓘ |
| parentOrganization |
Department of Computer and Information Science, University of Pennsylvania
ⓘ
Department of Electrical and Systems Engineering, University of Pennsylvania ⓘ Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania ⓘ |
| researchFocus |
aerial and ground robot collaboration
ⓘ
control of autonomous systems ⓘ fundamental problems in robotics ⓘ machine learning for robotics ⓘ multi-agent coordination ⓘ robotic manipulation ⓘ sensing and perception for robots ⓘ vision-based navigation ⓘ |
| sector | higher education ⓘ |
| website | https://www.grasp.upenn.edu/ ⓘ |
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: GRASP Laboratory Description of subject: The GRASP Laboratory is a renowned robotics and perception research lab at the University of Pennsylvania known for pioneering work in autonomous systems, drones, and computer vision.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: GRASP Laboratory