3D Perception project for the Robotics Nanodegree Program
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Updated
Jul 16, 2018 - C++
3D Perception project for the Robotics Nanodegree Program
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for …
A ROS move_base local planner plugin for Car-Like robots with Ackermann or 4-Wheel-Steering.
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Program to control a robot using an Arduino Uno. The robot is propelled by two DC motors and equipped with an ultra-sonic sensor so that it can avoid obstacles. Speed and amount of rotation of both motors is measured using IR-encoders. The motors are controlled via PID.
Loads images into a ring buffer to optimize memory load and then integrate several keypoint detectors such as HARRIS, FAST, BRISK and SIFT and compares them with regard to number of keypoints and speed.
Collision avoidance system by fusing lidar and camera data
Calculate time-to-collision by using Lidar and camera
3D Object Tracking with time-to-collision (TTC) estimation using Camera and Lidar for collision avoidance system in autonomous vehicles.
Robot agnostic information theoretic exploration strategy
Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation
Questa repository rappresenta il risultato del mio lavoro di tesi, focalizzato sullo sviluppo di un Laser-Based Collision Avoidance System per applicazioni robotiche. Il sistema è stato progettato per migliorare la sicurezza dei robot e prevenire le collisioni utilizzando la tecnologia basata su laser.
F-16 Aircraft Dynamics Model from Stevens and Lewis "Aircraft Control and Simulation".
C++ SDL AI Steering Behaviors: Seek, Flee, Arrive, Pursue, Evade, Wander, Path Following, Collision Avoidance and Combining them.
Python wrapper for the Powerlaw Collision Avoidance model
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
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