Pinned Repositories
Alexa_ROS_turtlesim
Simple controlling of ROS turlesim robot using Amazon Alexa Voice Service.
CartPole_control
Counter_App
Simple Counter-App using React.
Covid_Tracker
Simple react-web application created for knowing the status of individual country COVID-19 cases.
droidcam_ros
Using DroidCamX apk able to stream android camera data wireless over ROS topic.
hexapod_ros
ROS Hexapod stack with functioning 2D and 3D mapping.
lane-detection-and-hand-landmarks
This code can can perform robust lane detection and hand landmark tracking
Motion_track-and-Detection
Real-Time Object Tracker written in Python using dlib and OpenCV
Quadrupedal_Simulation_using_MATLAB
Mobile Robotics has been evolving as one of the most promising domains in the field of Robotics. The ability of these robots to explore and maneuver in complex environments without human intervention attracts the attention of researchers across the globe. The mobile robots are classified into three different areas viz. wheeled robots, tracked robots, and legged robots. Robot locomotion system is an essential characteristic of mobile design, which depends not only on working space but also on technical measures like maneuverability, controllability, terrain condition, efficiency, and stability. Applications involving locomotion over rough terrains or disaster management where the robot is needed to access the remote areas within the debris demand the use of legged robots. Legged robots are further classified depending on the number of legs the robot has. Hence the types of legged robots are pogo-stick robots or one-legged robots, bi-pedal or two-legged robots, quadrupedal or four-legged robots, six-legged or hexapod robots, and eight-legged robots. Each of the types has unique applications and special locomotion mechanisms. The GAIT behavior of the quadrupedal robots is inspired by the quadruped animals like horses, dogs, etc. This project is focused on the Simulation & Control of a Quadrupedal Robot, using trajectory generation for the locomotion and describing three types of GAIT behaviors for the robot, viz. Walking, Trotting and Galloping. These are based on the speed and leg-movement patterns of the robots. These behaviors can be transitioned depending on the application and the terrain pattern. All the mechanisms are designed and simulated in MATLAB, and Simulink.
ROS_udp_imu_feed
Python code for getting wireless IMU feed from mobile phone using UDP socket.
Robo-EX's Repositories
Robo-EX/Quadrupedal_Simulation_using_MATLAB
Mobile Robotics has been evolving as one of the most promising domains in the field of Robotics. The ability of these robots to explore and maneuver in complex environments without human intervention attracts the attention of researchers across the globe. The mobile robots are classified into three different areas viz. wheeled robots, tracked robots, and legged robots. Robot locomotion system is an essential characteristic of mobile design, which depends not only on working space but also on technical measures like maneuverability, controllability, terrain condition, efficiency, and stability. Applications involving locomotion over rough terrains or disaster management where the robot is needed to access the remote areas within the debris demand the use of legged robots. Legged robots are further classified depending on the number of legs the robot has. Hence the types of legged robots are pogo-stick robots or one-legged robots, bi-pedal or two-legged robots, quadrupedal or four-legged robots, six-legged or hexapod robots, and eight-legged robots. Each of the types has unique applications and special locomotion mechanisms. The GAIT behavior of the quadrupedal robots is inspired by the quadruped animals like horses, dogs, etc. This project is focused on the Simulation & Control of a Quadrupedal Robot, using trajectory generation for the locomotion and describing three types of GAIT behaviors for the robot, viz. Walking, Trotting and Galloping. These are based on the speed and leg-movement patterns of the robots. These behaviors can be transitioned depending on the application and the terrain pattern. All the mechanisms are designed and simulated in MATLAB, and Simulink.
Robo-EX/droidcam_ros
Using DroidCamX apk able to stream android camera data wireless over ROS topic.
Robo-EX/Alexa_ROS_turtlesim
Simple controlling of ROS turlesim robot using Amazon Alexa Voice Service.
Robo-EX/CartPole_control
Robo-EX/Counter_App
Simple Counter-App using React.
Robo-EX/Covid_Tracker
Simple react-web application created for knowing the status of individual country COVID-19 cases.
Robo-EX/hexapod_ros
ROS Hexapod stack with functioning 2D and 3D mapping.
Robo-EX/lane-detection-and-hand-landmarks
This code can can perform robust lane detection and hand landmark tracking
Robo-EX/Motion_track-and-Detection
Real-Time Object Tracker written in Python using dlib and OpenCV
Robo-EX/ROS_udp_imu_feed
Python code for getting wireless IMU feed from mobile phone using UDP socket.
Robo-EX/cv2_handwritten_and_fashion_ML
This project involves in implementing machine learning to detect hand written digits.
Robo-EX/eiquadprog
C++ reimplementation of eiquadprog
Robo-EX/LeetCode_Bootcamp
Robo-EX/librealsense
Intel® RealSense™ SDK
Robo-EX/mbzirc_control_trajec
Robo-EX/mobile_manipulator_body
Robo-EX/orb_slam_2_ros
A ROS implementation of ORB_SLAM2
Robo-EX/PythonRobotics
Python sample codes for robotics algorithms.
Robo-EX/Ros_service_to_count_words
Defining a service in ROS
Robo-EX/simple_covid19_vaccine_tracker
Get real time COVID-19 vaccine slots availability in India.
Robo-EX/simple_vidly_App
Book management web app running on local server
Robo-EX/sonycAQ
Repository for code related to the AQ sensor addition
Robo-EX/the-weather-scraper
A Lightweight Weather Scraper
Robo-EX/Udacity_Cpp
All my projects for the Udacity C++ nano degree
Robo-EX/Visual_odometry_using_optical_flow