Nagarjun Vinukonda (nagarjunvinukonda)

nagarjunvinukonda

Geek Repo

Location:Worcester, MA

Home Page:https://nagarjunvinukonda.github.io/

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Nagarjun Vinukonda's starred repositories

aws-graviton-getting-started

Helping developers to use AWS Graviton2, Graviton3, and Graviton4 processors which power the 6th, 7th, and 8th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d], R8g).

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3D_Obstacle_Tracking

SFND project on tracking 3D Obstacles using LiDAR and Camera

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osm2xodr

converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things

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Brain-Computer-Interface-for-Bionic-Arm

Created an Integrated system that collects brain waves and actuates Openbioic brunel hand

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Traffic-signal-detection-system

Produced an experimental comparative study on a robust system that detects traffic signals accurately

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Transfer-Learning

We use pretrained networks VGGnet, AlexNet, GoogLeNet, ResNet which trained on the ImageNet dataset as a feature extractor to classify images.

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Turtlebot-Navigation-using-DQN

The aim of this project is to train the turtlebot to reach the goal without hitting the obstcales

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Human-aware-navigation-using-RVO

This developing repo is for my research on human aware navigation using RVO.

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Dynamic-Obstacle-Tracker-and-Avoidance-ORCA

This package is modified for tracking humans and small moving obstacles for tracking velocity, radius, and position

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Model-Predictive-Control

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.

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RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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sarl_star

SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

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mpc_implementation_example

当サンプルモデルは、モデル予測制御(MPC)の設計と実装のワークフローを分かりやすく紹介するための資料です。 設計後、コード生成を行い、マイクロコントローラに実装するまでの流れを詳しくまとめています。

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RosBot-stair-case-visualization

Visualizing stair case using Laser scan in gazebo environment using ROS turtlebot

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System_Monitor_CPP

Design System Monitor using cpp

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Search-Algorithms

Programming Search Algorithms namely BFS, DFS, Dijkstra, A* and RRT* using Python

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ROS_GO_chase_it_project

ROS Go_chase_it udacity project

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CppOSMproject

Open street map project using C++14 computing A* search on Map

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Build-gazebo_world

Build a world in Gazebo ROS

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shared-autonomy-for-teleoperating-baxter-robot

Checkerboard detection using Python and OpenCV

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lidar_reading_package

Exoskeleton code stuff

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