book "Probabilistic Robotics"
E102290
"Probabilistic Robotics" is a foundational textbook that systematically introduces probabilistic methods for perception, localization, and control in mobile robotics.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Probabilistic Robotics | 3 |
| book "Probabilistic Robotics" canonical | 1 |
| foundations of probabilistic robotics | 1 |
| probabilistic robotics | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T871223 — 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: book "Probabilistic Robotics" Context triple: [Sebastian Thrun, notableWork, book "Probabilistic Robotics"]
-
A.
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.
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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.
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C.
IEEE Transactions on Robotics
IEEE Transactions on Robotics is a leading peer-reviewed scientific journal that publishes advanced research on the theory, design, and application of robotic systems and automation technologies.
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D.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
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E.
Deep Learning (book)
Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
- 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: book "Probabilistic Robotics" Target entity description: "Probabilistic Robotics" is a foundational textbook that systematically introduces probabilistic methods for perception, localization, and control in mobile robotics.
-
A.
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.
-
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.
IEEE Transactions on Robotics
IEEE Transactions on Robotics is a leading peer-reviewed scientific journal that publishes advanced research on the theory, design, and application of robotic systems and automation technologies.
-
D.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
-
E.
Deep Learning (book)
Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
textbook ⓘ |
| author |
Dieter Fox
ⓘ
Sebastian Thrun ⓘ Wolfram Burgard ⓘ |
| countryOfPublication |
United States of America
ⓘ
surface form:
United States
|
| field |
artificial intelligence
ⓘ
probabilistic robotics ⓘ robotics ⓘ |
| genre |
non-fiction
ⓘ
scientific literature ⓘ |
| hasEdition | hardcover edition ⓘ |
| hasSubjectCategory |
artificial intelligence textbooks
ⓘ
control systems literature ⓘ robotics textbooks ⓘ |
| intendedAudience |
graduate students
ⓘ
practitioners in robotics ⓘ researchers ⓘ |
| isbn10 | 0262201623 ⓘ |
| isbn13 | 9780262201629 ⓘ |
| language | English ⓘ |
| medium |
digital
ⓘ
print ⓘ |
| notableFor |
foundational role in probabilistic robotics
ⓘ
systematic treatment of probabilistic methods in robotics ⓘ |
| pageCount | 674 ⓘ |
| partOfSeries | Intelligent Robotics and Autonomous Agents series ⓘ |
| publicationYear | 2005 ⓘ |
| publisher | MIT Press ⓘ |
| topic |
Bayesian filtering
ⓘ
Kalman filter ⓘ Markov localization ⓘ Monte Carlo localization ⓘ SLAM ⓘ extended Kalman filter ⓘ mapping ⓘ mobile robotics ⓘ motion models ⓘ particle filter ⓘ probabilistic methods ⓘ robot control ⓘ robot localization ⓘ robot perception ⓘ sensor models ⓘ |
| usesMathematicalTools |
Bayesian statistics
ⓘ
linear algebra ⓘ probability theory ⓘ stochastic processes ⓘ |
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: book "Probabilistic Robotics" Description of subject: "Probabilistic Robotics" is a foundational textbook that systematically introduces probabilistic methods for perception, localization, and control in mobile robotics.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
probabilistic robotics
this entity surface form:
Probabilistic Robotics
this entity surface form:
foundations of probabilistic robotics
this entity surface form:
Probabilistic Robotics
this entity surface form:
Probabilistic Robotics