@conference {2880, title = {APRICOT: Aerospace PRototypIng COntrol Toolbox. A Modeling and Simulation Environment for Aircraft Control Design}, booktitle = {International Workshop on Modelling and Simulation for Autonomous Systems MESAS 2016}, volume = {9991 of the book series Lecture Notes in Computer Science (LNCS)}, year = {2016}, pages = {139 - 157}, publisher = {Springer}, organization = {Springer}, address = {Rome, Italy, June 15-16, 2016}, abstract = {

A novel MATLAB/Simulink based modeling and simulation environment for the design and rapid prototyping of state-of-the-art aircraft control systems is proposed. The toolbox, named APRICOT, is able to simulate the longitudinal and laterodirectional dynamics of an aircraft separately, as well as the complete 6 degrees of freedom dynamics. All details of the dynamics can be easily customized in the toolbox, some examples are shown in the paper. Moreover, different aircraft models can be easily integrated. The main goal of APRICOT is to provide a simulation environment to test and validate different control laws with different aircraft models. Hence, the proposed toolbox has applicability both for educational purposes and control rapid prototyping. With respect to similar software packages, APRICOT is customizable in all its aspects, and has been released as open source software. An interface with Flightgear Simulator allows for online visualization of the flight. Examples of control design with simulation experiments are reported and commented.

}, keywords = {Embedded Control, Robotics}, doi = { 10.1007/978-3-319-47605-6_11}, url = {http://link.springer.com/chapter/10.1007/978-3-319-47605-6_11}, author = {A. Ferrarelli and D. Caporale and A Settimi and L. Pallottino} } @conference {2893, title = {Motion Primitive Based Random Planning for Loco{\textendash}Manipulation Tasks}, booktitle = {IEEE International Conference on Humanoid Robots (HUMANOIDS 2016)}, year = {2016}, note = {
This work is supported by the European commission project Walk-Man EU FP7-ICT no. 611832 and the ECs Horizon 2020 robotics program ICT-23-2014 under grant agreement 644727 (CogIMon)
}, publisher = {IEEE}, organization = {IEEE}, address = {Cancun, Mexico, 15-17 Nov. 2016 }, abstract = {

Several advanced control laws are available for
complex robotic systems such as humanoid robots and mobile
manipulators. Controls are usually developed for locomotion or
for manipulation purposes. Resulting motions are usually executed
sequentially and the potentiality of the robotic platform
is not fully exploited.
In this work we consider the problem of loco{\textendash}manipulation
planning for a robot with given parametrized control laws
known as primitives. Such primitives, may have not been
designed to be executed simultaneously and by composing
them instability may easily arise. With the proposed approach,
primitives combination that guarantee stability of the system
are obtained resulting in complex whole{\textendash}body behavior.
A formal definition of motion primitives is provided and a
random sampling approach on a manifold with limited dimension
is investigated. Probabilistic completeness and asymptotic
optimality are also proved. The proposed approach is tested
both on a mobile manipulator and on the humanoid robot
Walk-Man, performing loco{\textendash}manipulation tasks.

}, keywords = {Robotics}, isbn = {978-1-5090-4718-5 }, doi = {10.1109/HUMANOIDS.2016.7803402}, url = {http://ieeexplore.ieee.org/document/7803402/}, author = {A Settimi and D. Caporale and P. Kryczka and M. Ferrati and L. Pallottino} }