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adityaravichander Goto Github PK

followers: 31.0 following: 58.0 repos: 15.0 gists: 0.0

Name: Aditya Ravichander

Type: User

Company: @spider-tronix

Bio: Summer Intern @ Volvo Group. MS Robotics & Autonomous Systems at ArizonaStateUniv. Interests: Control, Motion Planning, Robotics, Autonomous Vehicles

Twitter: aadhi_6

Location: Arizona, USA

Blog: www.bit.ly/adityaravi

👋 Hi, I’m @adityaravichander
👀 I’m interested in motion planning and control of robotics and autonomous systems
🌱 I’m currently learning to implement reinforcement learning techniques for self-driving car applications.
💞️ I’m looking to collaborate with startups/industries to build robots!
📫 Feel free to reach me at [email protected]

Aditya Ravichander's Projects

The goal of this application is to develop an autonomous mapping solution for a 2-wheeled robot. This application is developed as the final project in the course SES 598: Autonomous Exploration Systems at Arizona State University. The solution uses RTABMap to develop a quality 3D map while avoiding obstacles.

auv_lbf

Lyapunov based controller design for trajectory tracking of an under-actuated autonomous underwater vehicle(AUV)

auv_lqr

Addressing the combined problem of trajectory planning and tracking control for under-actuated autonomous underwater vehicle (AUV).

bee-bots

A robotic system based on two emerging fields of technology: Swarm Robotics and Blockchain.

egr556_bikeproject

Motion Planning and Control of an Autonomous Bike

facemask_detector_nnfl

Facemask detector using neural networks

gazebo_models

Model database

gesture_controlled_arm

Gesture controlled 2 DOF robotic arm

invpend_experiment

lawnmover_turtlesim

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

rl_self-driving-car-main

RL based Self-Driving Car project for coursework at Arizona State University.

robond-kinematics-project

Robotic Arm Pick & Place using ROS, RViz, Gazebo, and KUKA KR210

tensorflow-1-public

Learning to use TensorFlow for implementing AI, ML, DL techniques. This belongs to the DeepLearning.AI TensorFlow Developer Professional Certificate

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