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Deep learning based cognitive self-supervised robots in medical engineering
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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Deep learning based cognitive self-supervised robots in medical engineering


6th World Convention on Robots, Autonomous Vehicles and Deep Learning

September 10-11, 2018 Singapore

P S Jagadeesh Kumar

G. H. Raisonic College of Engineering, India

Posters & Accepted Abstracts: Adv Robot Autom

Abstract :

The cognitive self-supervised robot is an interdisciplinary area for creating robots that can produce their own particular preparing information through the self-ruling inquiry with the reconciliation of cognitive science and robotics. Deep learning enables utilizing an extremely adaptable portrayal to comprehend the higher functions of the human framework. Human cognitive activities are examined by psychological investigations and reconnoitered in securing canny practices through collaboration with natural environment. The cognitive self-supervised robot can realize human subjective capacities by emulating them as artificial systems built on deep learning and placing them into social conditions.

Biography :

E-mail: jagdeesh.kumar@raisoni.net

, dr.psjkumar@yahoo.com

 

Google Scholar citation report
Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

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