Vision-Based Intelligent Perceiving and Planning System of a 7-DoF Collaborative Robot.

In this paper, an intelligent perceiving and planning system based on deep learning is proposed for a collaborative robot consisting of a 7-DoF (7-degree-of-freedom) manipulator, a three-finger robot hand, and a vision system, known as IPPS (intelligent perceiving and planning system). The lack of intelligence has been limiting the application of collaborative robots for a long time. A system to realize "eye-brain-hand" process is crucial for the true intelligence of robots.

Nuggets: findings shared in multiple clinical case reports.

Objective: The researchers assessed prevalence in the clinical case report literature of multiple reports independently reporting the same (or nearly the same) main finding.

Methods: Results from forty-five PubMed queries were examined for incidence and features of main findings ("nuggets") shared in at least four case reports.

Results: The authors found that nuggets are surprisingly prevalent and large in the case report literature, the largest found so far was reported in seventeen articles.

Aggregator: a machine learning approach to identifying MEDLINE articles that derive from the same underlying clinical trial.

Objective: It is important to identify separate publications that report outcomes from the same underlying clinical trial, in order to avoid over-counting these as independent pieces of evidence.

Methods: We created positive and negative training sets (comprised of pairs of articles reporting on the same condition and intervention) that were, or were not, linked to the same clinicaltrials.gov trial registry number.