Current and past homeworks
Hereafter 3 the topics that this year you can develop in maximum 2 students and present (at the oral exam) 1. Complementary filtering Use an optimization framework to find the coefficients of each filter without any constraint (i.e. making the…
You can use the SLAM toolbox of matlab but also use the Singular Value Decomposition that we are going to see in the course, at least to estimate incrementally the motion between two scans Balyo DATA
STUDENTS: Mattia Sartori, Giacomo Mutti SUPERVISORS: Prof. Mariolino De Cecco, Valentina Nardon, Luca Maule Introduction The purpose of the project is to automatically detect the different gait phases of a user which is walking with the help of an…
INFORMATION University of Trento – Robotic Perception and Action Course A.A. 2018/2019 Supervisor: Prof. Mariolino De Cecco Students: Davide Stocco & Federico Frison INTRODUCTION Path planning is one of the most important elements for mobile robot. Path planning is the…
Simulation and Control of Mining Industry Vehicles in Virtual Reality Environments Vehicle Modelling Four wheel drive four wheel steering vehicle model chosen for high maneuverability and controllability in mining applications. Vehicle controls (steering and velocity) calculated to implement path following…
-Interactive lesson on Path Control- Prof. Mariolino De Cecco Studenti: Luca Pietropoli 196766 Alessandro Motta 198089 Riccardo Andreoni 195367 Marius Chiriac 203543 INTRODUCTION This project consists in an interactive lesson focused on explaining different methods for the path following problem.…
Robotic Perception and Action A.A. 2018/2019 – SLAM Project Askhat Issakov, Jonathan Smyth, Simone Zamboni, Javier Macías 1. Introduction Education has relied for the past thousands of year on static 2D representations of the world and of the arguments to…
ROBOTIC PERCEPTION AND ACTION 2018/2019 PROJECT WORK – POINT TO POINT PATH PLANNING WITH CHAINED FORM SYSTEMS Students: Alberto Gabriel, Jacopo Losi, Marco Moletta, Nicola Saljoughi “In a point to point path planning the robot must reach a final position…
A* project for the course of Robotic Perception and Action EIT Digital – Autonomous Systems 2018-2019 Nicolò Pretto Project: Interactive pathfinding Breadth-first search, Dijkstra and A* are three famous path-planning algorithms that run on graphs. They can all be…
An interactive lecture on path following algorithms The core idea of the project is to provide a tool able to support the teacher in explaining the theory, make the lesson more appealing and help the student in visualizing the concepts…