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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Robot Manipulation and Learning
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

759 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
759 works in the cohort · of 4,299,418page 2 of 16

Labels cover 2 of 759 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 759 of 759 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Inverse Optimal Control for Multiphase Cost Functions
Wanxin Jin, Dana Kulić, Jonathan Feng-Shun Lin, Shaoshuai Mou, Sandra Hirche
2019· article· en· IEEE Transactions on Robotics· Engineering
machine prediction:candidate · noneconsensus · none
51
citations
afffundunlabeled
Mechanisms for Robotic Grasping and Manipulation
Vincent Babin, Clément Gosselin
2020· article· en· Annual Review of Control Robotics and Autonomous Systems· Engineering
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
RoboCut
Simon Duenser, Roi Poranne, Bernhard Thomaszewski, Stelian Coros
2020· article· en· ACM Transactions on Graphics· Engineering
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Multi-scale assembly with robot teams
Mehmet R. Doğar, Ross A. Knepper, Andrew Spielberg, Changhyun Choi, Henrik I. Christensen, Daniela Rus
2015· article· en· The International Journal of Robotics Research· Engineering
machine prediction:candidate · noneconsensus · none
45
citations
affno abstractunlabeled
Multi-robot Task Allocation Using Clustering Method
Farzam Janati, Farzaneh Abdollahi, Saeed Shiry Ghidary, Masoumeh Jannatifar, Jacky Baltes, Soroush Sadeghnejad
2016· book-chapter· en· Advances in intelligent systems and computing· Engineering
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
[no title]
Hadas Kress‐Gazit, Kerstin Eder, Guy Hoffman, Henny Admoni, Christoffer Heckman, Nils Jansen +7 more
2021· article· en· Radboud Repository (Radboud University)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
44
citations
affno abstractunlabeled
Field and Service Robotics
David Wettergreen, Timothy D. Barfoot
2016· book· en· Springer tracts in advanced robotics· Engineering
machine prediction:candidate · noneconsensus · none
44
citations

How this was built: Screen · Findings · About