Team IHMC Robotics
E42992
Team IHMC Robotics is a research robotics team from the Florida Institute for Human & Machine Cognition known for developing advanced humanoid robots and achieving top results in international robotics competitions.
All labels observed (2)
| Label | Occurrences |
|---|---|
| IHMC Robotics | 1 |
| Team IHMC Robotics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T334068 — 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: Team IHMC Robotics Context triple: [DARPA Robotics Challenge, secondPlaceTeam, Team IHMC Robotics]
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A.
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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B.
HRL Laboratories
HRL Laboratories is a renowned research center specializing in advanced technologies such as neuromorphic computing, artificial intelligence, and microelectronics.
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C.
IEEE Robotics and Automation Society
The IEEE Robotics and Automation Society is a professional society that advances the theory, practice, and application of robotics and automation through research, education, and technical community activities.
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D.
MIT researchers
MIT researchers are scholars and innovators at the Massachusetts Institute of Technology who advance knowledge and technology across science, engineering, and related fields.
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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: Team IHMC Robotics Target entity description: Team IHMC Robotics is a research robotics team from the Florida Institute for Human & Machine Cognition known for developing advanced humanoid robots and achieving top results in international robotics competitions.
-
A.
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.
-
B.
HRL Laboratories
HRL Laboratories is a renowned research center specializing in advanced technologies such as neuromorphic computing, artificial intelligence, and microelectronics.
-
C.
IEEE Robotics and Automation Society
The IEEE Robotics and Automation Society is a professional society that advances the theory, practice, and application of robotics and automation through research, education, and technical community activities.
-
D.
MIT researchers
MIT researchers are scholars and innovators at the Massachusetts Institute of Technology who advance knowledge and technology across science, engineering, and related fields.
-
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 |
humanoid robotics team
ⓘ
robotics research team ⓘ |
| affiliation | Florida Institute for Human & Machine Cognition ⓘ |
| basedIn |
Ocala
ⓘ
surface form:
Ocala, Florida
Pensacola, Florida ⓘ |
| collaboratesWith |
government agencies
ⓘ
industry partners ⓘ universities ⓘ |
| competitionResult | top results in DARPA Robotics Challenge ⓘ |
| competitionType | disaster-response robotics competitions ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| develops |
control algorithms for humanoid robots
ⓘ
robotic exoskeleton control systems ⓘ software for legged locomotion ⓘ |
| field |
control systems
ⓘ
human-robot interaction ⓘ humanoid robotics ⓘ legged locomotion ⓘ robotics ⓘ |
| focus |
human-centered robotics
ⓘ
real-time control software ⓘ safety in human-robot interaction ⓘ |
| goal |
advance the capabilities of humanoid robots
ⓘ
develop assistive technologies for people with mobility impairments ⓘ improve robot performance in real-world environments ⓘ |
| knownFor |
balance and locomotion research
ⓘ
bipedal walking control algorithms ⓘ developing advanced humanoid robots ⓘ participation in international robotics competitions ⓘ |
| organizationType |
academic research team
ⓘ
research group ⓘ |
| parentOrganization | Florida Institute for Human & Machine Cognition ⓘ |
| participatedIn | DARPA Robotics Challenge ⓘ |
| researchArea |
assistive robotics
ⓘ
exoskeletons for mobility assistance ⓘ humanoid locomotion ⓘ robot balance control ⓘ robot perception for locomotion ⓘ rough-terrain walking ⓘ whole-body control ⓘ |
| shortName |
Team IHMC Robotics
self-linksurface differs
ⓘ
surface form:
IHMC Robotics
|
| usesRobotPlatform |
Atlas humanoid robot
ⓘ
Cassie bipedal robot ⓘ Exoskeleton systems ⓘ Nadia humanoid robot ⓘ Atlas humanoid robot ⓘ
surface form:
Valkyrie humanoid robot
|
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: Team IHMC Robotics Description of subject: Team IHMC Robotics is a research robotics team from the Florida Institute for Human & Machine Cognition known for developing advanced humanoid robots and achieving top results in international robotics competitions.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
IHMC Robotics