Part of my homeworks related to Autonomous Robotics lectures
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Updated
Jul 12, 2017 - Python
Part of my homeworks related to Autonomous Robotics lectures
Unofficial port of RVO2 to Python3
Reciprocal Collision Avoidance for Real-Time Multi-Agent Simulation (port to Javascript). This is an alpha release of a RVO2 port from the C# version to Javascript, only for research purposes.
3D Perception project for the Robotics Nanodegree Program
Algoritmi di pianificazione dinamica basati su Velocity Obstacle
Line following and collision avoidance robot car
MEng Final Year Project - Reinforcement Learned Collision Avoidance
Repository contains some of the control algorithms that were implemented to make a ground robot go to a goal by avoiding obstacles (work done on a robot simulator)
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.
A*-based collision avoidance for UAV path planning
Keypoint Tracking and Matching in Autonomous Vehicles to measure TTC between consecutive frames of the KITTI Dataset
Developing a collision avoidance technique using Interval Arithmetic for 3D robots
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.
Local control techiniques for collision avoidance scenarios on multi-agent system
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