@article {2791, title = {Controllability analysis of a pair of 3D Dubins vehicles in formation}, journal = {Robotics and Autonomous Systems}, volume = {83}, year = {2016}, month = {09/2016}, pages = {94 - 105}, abstract = {

In this paper we consider the controllability problem for a system consisting of a pair of Dubins vehicles moving in a 3D space (i.e.\ pair of 3D{\textendash}Dubins vehicles) while maintaining constant distance. Necessary and sufficient conditions for the existence of a limited control effort to steer the system between any two configurations are provided. The proposed controllability analysis and the developed motion planning algorithm are a step toward the solution of planning problems for example in case the robots are physically constrained to a payload to be deployed. Moreover, results obtained in this paper are relevant in order to solve formation control problems for multiple robots as aerial or underwater vehicles, which move in 3D spaces. Simulation results highlight the sufficiency of the obtained conditions showing that even from critical configurations an admissible control can be determined.

}, keywords = {Embedded Control, Robotics}, doi = {10.1016/j.robot.2016.05.015}, url = {http://www.sciencedirect.com/science/article/pii/S0921889015301202}, author = {H. Marino and Salaris, P. and L. Pallottino} } @conference {2810, title = {Multi{\textendash}object handling for robotic manufacturing}, booktitle = {IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society}, year = {2016}, month = {12/2016}, pages = {6887 - 6893}, publisher = {IEEE}, organization = {IEEE}, address = {Florence, Italy, October 24-27}, abstract = {

The purpose of this work is to move a step toward the automation of industrial plants through full exploitation of autonomous robots. A planning algorithm is proposed to move different objects in desired configurations with heterogeneous robots such as manipulators, mobile robots and conveyor belts.
The proposed approach allows different objects to be handled by different robots simultaneously in an efficient way and avoiding collisions with the environment and self{\textendash}collisions between robots. In particular, the integrated system will be capable of planning paths for a set of objects from various starting points in the environment (e.g. shelves) to their respective final destinations. The proposed approach unifies the active (e.g., grasping by a hand) and passive (e.g., holding by a table) steps involved in moving the objects in the environment by treating them as end{\textendash}effectors with constraints and capabilities.
Time varying graphs will be introduced to model the problem for simultaneous handling of objects by different end{\textendash}effectors.
Optimal exploration of such graphs will be used to determine paths for each object with time constraints. Results will be validated through simulations.

}, keywords = {Robotics}, doi = {http://ieeexplore.ieee.org/document/7793936/?reload=true}, url = {http://ieeexplore.ieee.org/document/7793936/?reload=true}, author = {M. Ferrati and H. Marino and A Settimi and S. Nardi and L. Pallottino} } @article {2724, title = {On the Problem of Moving Objects With Autonomous Robots: A Unifying High-Level Planning Approach}, journal = {IEEE ROBOTICS AND AUTOMATION LETTERS}, volume = {1}, year = {2016}, month = {01/2016}, pages = {469-476}, abstract = {

Moving objects with autonomous robots is a wide topic that includes single-arm pick-and-place tasks, object regrasping, object passing between two or more arms in the air or using support surfaces such as tables and similar. Each task has been extensively studied and many planning solutions are already present in the literature. In this letter, we present a planning scheme which, based on the use of pre-defined elementary manipulation skills, aims to unify solutions which are usually obtained by means of different planning strategies rooted on hardcoded behaviors. Both robotic manipulators and environment fixed support surfaces are treated as end-effectors of movable and non-movable types, respectively. The task of the robot can thus be broken down into elementary building blocks, which are endeffector manipulation skills, that are then planned at the kinematic level. Feasibility is ensured by propagating unforeseen low-level failures at the higher level and by synthesizing different behaviors. The validity of the proposed solution is shown via experiments on a bimanual robot setup and in simulations involving a more complex setup similar to an assembly line.

}, keywords = {Robotics}, doi = {10.1109/LRA.2016.2519149}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=7384694}, author = {H. Marino and M. Ferrati and A Settimi and C. Rosales and M Gabiccini} } @conference {1941, title = {A data-driven kinematic model of the human hand with soft-tissue artifact compensation mechanism for grasp synergy analysis}, booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year = {2013}, pages = {3738 - 3745}, address = {Tokyo, Japan}, keywords = {Haptics, Robotics}, doi = {10.1109/IROS.2013.6696890 }, author = {M Gabiccini and G. Stillfried and H. Marino and M. Bianchi} } @conference {1244, title = {Motion Planning for Two 3D-Dubins Vehicles with Distance Contraint}, booktitle = {International Conference of Intelligent Robots and Systems - IROS 2012}, year = {2012}, month = {October 7 - 12}, pages = {4702 - 4707 }, address = {Vilamoura, Algarve, Portugal}, keywords = {Robotics}, author = {H. Marino and M. Bonizzato and R. Bartalucci and P Salaris and L. Pallottino} }