The DOI matches its Crossref record.
Big Data on Robotics
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Robots are making rapid and considerable progress in the field of perception, beginning to hear, see, read, and touch in ways not previously possible.
“Robots are making rapid and considerable progress in the field of perception. They are beginning to hear, see, read, and touch in ways not previously possible [4].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [4]
Robots need to collect far richer data sets than traditional, strictly passive, or even active sensors to enable them to interact with the environment.
“As a result, they need to collect far richer data sets than traditional, strictly passive, or even active (viewpointchanging) sensors to enable them to interact with the environment [4].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [4]
Citations
Cited by
Sorted by citations
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68
“As a result, they need to collect far richer data sets than traditional, strictly passive, or even active (viewpointchanging) sensors to enable them to interact with the environment [4].”
Background
Metadata
- Authors
- Bohg, J., Ciocarlie, M., Civera, J., & Kavraki, L. E.
- Affiliations
- Max Planck Institute for Intelligent Systems (DE)
- Columbia University (US)
- Universidad de Zaragoza (ES)
- Rice University (US)
- Corresponding author
- Bohg, Jeannette
- Ciocarlie, Matei
- Civera, Javier
- Kavraki, Lydia E.
- Venue
- Big Data
- Publisher
- SAGE Publications
- Published
- 2016-12
- Volume
- 4
- Issue
- 4
- Pages
- 195-196
- ISSN
- 2167-6461 (ISSN-L)
- 2167-647X
- OpenAlex
- W2586162881
- Cited by
- 3
- References
- 0
- Citations by year
- 2024: 1 · 2021: 1 · 2020: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Big Data (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotics and Automated Systems
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Keywords
- robotics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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