hobbysingh Goto Github PK

a_star

Path Planning Algorithm

ardupilot_gazebo

Repository for ArduPilot & Gazebo Software In Loop Simulation Interfaces, Models

ardupilot_lqr

ArduPlane, ArduCopter, ArduRover source

bstld

Sample scripts for the Bosch Small Traffic Lights Dataset

d-star

graph-slam

Graph SLAM (16833 SLAM Project at CMU)

ieee-ras-sight-humanitarian-robotics-automation-technology-challenge

ROS Nodes for Locomotion, Obstacle Avoidance and Mine Detection

lqr-guidance-law

This research contains formulation and implementation of LQR (Linear Quadratic Regulator) Guidance for ship based net recovery of fixed wing UAVs

obstacle-avoidance-hector-quadrotor

path-following-algorithms

Carrot Chase, Linear Quadratic Regualtor Control (LQR), PID Control

path-planning-algorithms

Many path planning algorithms implemented as a part of Robotics Course for eg. A*, D*, RRT, RRT*

robot-autonomy-sim-project

robotic-arm

This project contains my contribution towards developing a 3 DOF cooking robotic arm in hardware and simulating using ROS, Rviz, OMPL, and MoveIt API. Controllers were written for efficient trajectory planning and cooking delicious food. The work was done during my internship at Nymble Labs. The codebase is incomplete and will not run.

rove-android

Rove: the traveller's log (Android)

rrt_continuous

rrt_discrete

sdre-based-path-following

sdre-path-following

smart-switch-iot

Control and Monitor any appliance when away from Home

social-lstm

Social LSTM implementation in PyTorch

tight_multi_robot_coordination

Tight multi robot coordination for a multi agent system where the communication range is constrained and the agents need to coordinate and reach there goal destination without violating the range barrier in an obstacle environment.

vision-based-fixed-wing-landing

This research uses computer vision and machine learning for implementing a fixed-wing-uav detection technique for vision based net landing on moving ships. A rudimentary technique using SIFT descriptors, Bag-of-words and SVM classification was developed during the study.