Multi-Robot Path Planning on Graphs Solution by A* algorithm
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Updated
Nov 20, 2018 - MATLAB
Multi-Robot Path Planning on Graphs Solution by A* algorithm
A trajectory planning framework for multiple robots: paper accepted in IEEE T-RO
Roborobo v.4 - super fast multi-robot simulator for evolutionary swarm robotics and multi-agent learning. Combines ease-of-use (python interface) with speed (C++ core engine).
Simulation environmet based on docker and docker-compose used to run multi-robot experiments ROS+Morse in the Software Engineering Lab (LES) at University of Brasilia.
Simulation of swarm of robots used to explore and search for a target, done using Webots software.
Sequential map merging for cooperative SLAM with particle filter
Developed and simulated a randomly scattered collective of robots with sensors to self-assemble into any given connected shape, using gradient information derived from the desired shape.
Implementing frontier based exploration mapping with turtlebot3 and LiDAR mapping
Multi robot sweep coverage: Matlab codes for the paper accepted in IEEE T-SMC.
Utilize multiple robots to autonomously explore an environment and generate a single merged global map
A ROS package to simulate multirobot patrolling and analyze the performance of the simulations
This is part of my thesis on Coverage of Modular Environments, at Politecnico di Milano
Multirobot SLAM
The simple code implemetation for robot scheduling
An iOS application (primarily on iPad) to remotely control UAVs
Multi robot path planning algorithms implemented in MATLAB. Including heuristic search and incremental heuristic search methods. MRPP or MAPF
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