Jekyll2018-02-21T09:20:21-08:00https://maplensteel.github.io/Arjun Jagdish RamFirst Year Graduate Student at Worcester Polytechnic InstituteArjun Jagdish RamSynergy of Human and Robot Course Project2017-07-01T00:00:00-07:002017-07-01T00:00:00-07:00https://maplensteel.github.io/https:/github.com/MapleNSteel/blog-post-2<p>Developed interoperability modules and arm-control modules for bi-manual coordination of Baxter robot’s arms.</p>Arjun Jagdish RamDeveloped interoperability modules and arm-control modules for bi-manual coordination of Baxter robot’s arms.Volunteer Project2016-12-01T00:00:00-08:002016-12-01T00:00:00-08:00https://maplensteel.github.io/blog-post-1<p>Currently working on making a Traxxas Rally 4-wheel drive 1/10 RC car autonomous. Currently designing a low-level controller for the rally car.</p>Arjun Jagdish RamCurrently working on making a Traxxas Rally 4-wheel drive 1/10 RC car autonomous. Currently designing a low-level controller for the rally car.Convolutional Neural Network for the Detection and Classification of Diabetic Retinopathy2016-08-01T00:00:00-07:002016-08-01T00:00:00-07:00https://maplensteel.github.io/https:/github.com/MapleNSteel/blog-post-3<p>CNN for detecting and classifying Diabetic Retinopathy using Fundus Images. Libraries used were OpenCV, Theano, and Lasagne.</p>Arjun Jagdish RamCNN for detecting and classifying Diabetic Retinopathy using Fundus Images. Libraries used were OpenCV, Theano, and Lasagne.AUVSI SUAS 20162015-07-01T00:00:00-07:002015-07-01T00:00:00-07:00https://maplensteel.github.io/https:/github.com/MapleNSteel/blog-post-4<p>Github repo for the competition code that was used for the Students’ Unmanned Aerial Systems (SUAS) competition held by the AUVSI foundation in June of 2016.
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Code for detecting and classifying alphabet targets on the ground whilst in flight from on-board camera.</p>Arjun Jagdish RamGithub repo for the competition code that was used for the Students’ Unmanned Aerial Systems (SUAS) competition held by the AUVSI foundation in June of 2016. Code for detecting and classifying alphabet targets on the ground whilst in flight from on-board camera.