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Rodrigo Bernardo's Projects

acado icon acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

acado_demo icon acado_demo

Example stand-alone project using the ACADO optimal-control toolkit

apriltag_ros icon apriltag_ros

A ROS wrapper of the AprilTag 3 visual fiducial detector

bounding-mesh icon bounding-mesh

Implementation of the bounding mesh and bounding convex decomposition algorithms for single-sided mesh approximation

common_tutorials icon common_tutorials

ROS common_tutorials stack migrated from https://code.ros.org/svn/ros-pkg/stacks/common_tutorials/branches/common_tutorials-0.1/

eband_local_planner icon eband_local_planner

ROS Local planner based on the eband approach. Based on the original implementation by Christian Connette and Bhaskara Marathi. This local planner has been adapted primarily for differential drive robots, but still supports the original holonomic drive controls.

g2o icon g2o

g2o: A General Framework for Graph Optimization

groot icon groot

Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP

icp icon icp

iterative closest point

isr_planning icon isr_planning

A flexible framework for task planning, execution and monitoring of real robots in real world environments.

labelimg icon labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

libfreenect icon libfreenect

Drivers and libraries for the Xbox Kinect device on Windows, Linux, and OS X

mongodb_store icon mongodb_store

MongoDB tools for storing and analysing runs of ROS systems.

mopl icon mopl

MOPL: A Multi-Modal Path Planner for Generic Manipulation Tasks, build upon the Robotics Library (RL), and inspired by the diverse action manipulation (DAMA) algorithm.

mpc-and-mhe-implementation-in-matlab-using-casadi icon mpc-and-mhe-implementation-in-matlab-using-casadi

This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/

mpc_local_planner icon mpc_local_planner

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time and quadratic-form receding-horizon configurations.

mpc_ros icon mpc_ros

Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS

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