@conference {2889, title = {Robust Optimization of System Compliance for Physical Interaction in Uncertain Scenarios}, booktitle = {IEEE International Conference on Humanoid Robots (HUMANOIDS2016)}, year = {2016}, note = {
This work was supported by the European Commission projects (FP7 framework) Walk-Man and the European Commission Grant no. H2020- ICT-645599 {\textquotedblleft}SOMA{\textquotedblright}: SOft MAnipulation
}, publisher = {IEEE}, organization = {IEEE}, address = {Cancun, Mexico, 15-17 Nov. 2016 }, abstract = {

Compliance in robot design and control is often introduced to improve the robot performance in tasks where interaction with environment or human is required. However a rigorous method to choose the correct level of compliance is still not available. In this work we use robust optimization as a tool to select the optimal compliance value in a robotenvironment interaction scenario under uncertainties. We propose an approach that can be profitably applied on a variety of tasks, e.g.manipulation tasks or locomotion tasks. The aim is to minimize the forces of interaction considering model constraints and uncertainties. Numerical results show that: i) in case of perfect knowledge of the environment stiff robots behave better in terms of force minimization, ii) in case of uncertainties the optimal stiffness of the robot is lower than the previous case and optimal solutions provide a faster task accomplishment, iii) the optimal stiffness decreases as a function of the uncertainty measure. Experiments are carried out in a realistic set-up in case of bi-manual object handover.

}, keywords = {Robotics}, isbn = {978-1-5090-4718-5 }, doi = { 10.1109/HUMANOIDS.2016.7803381}, url = {http://ieeexplore.ieee.org/document/7803381/}, author = {Gasparri, G. M. and F. Fabiani and M. Garabini and L. Pallottino and M. G. Catalano and G. Grioli and R. Persichini and A. Bicchi} } @conference {BBCCPPT04, title = {A Robotic Set-Up with Remote Access for {\textquoteleft}{\textquoteleft}Pick and Place{\textquoteright}{\textquoteright} Operations Under Uncertainty Conditions}, booktitle = {E-learning and Virtual and Remote Laboratories}, series = {Proc. VIRTUAL-LAB 2004}, year = {2004}, pages = {144{\textendash}149}, abstract = {

The work describes on-going work at the University of Pisa on the field of tele-laboratories and distance learning. In particular, the group is working at the evolution of existing tele-laboratory experiments in the field of robotics and control into learning units of a self-consistent didactic project. The pick-and-place system described has been designed to provide the set-up for robot arm motion planning with specific objectives and evaluation tools.

}, keywords = {Robotics}, author = {A. Balestrino and A. Bicchi and A. Caiti and T. Cecchini and L. Pallottino and A. Pisani and G. Tonietti}, editor = {P. Borza and L. Gomes and G. Scutaru} } @conference {PBENEA02, title = {Risoluzione ottima dei conflitti tra agenti autonomi: applicazione al controllo del traffico aereo}, booktitle = {Proc. 1st. Natl. Conf. and Exhibit on Autonomous Intelligent Systems and Advanced Robotics}, year = {2002}, month = {October}, pages = {193-197}, address = {ENEA, Frascati}, keywords = {Embedded Control, Robotics}, author = {L. Pallottino and A. Bicchi} } @conference {BPBP01, title = {Randomized parallel simulation of constrained multibody systems for VR/haptic applications}, booktitle = {Proc. IEEE Int. Conf. on Robotics and Automation}, volume = {3}, year = {2001}, pages = {2319-2324}, abstract = {

In this paper, we consider the problem of efficiently simulating large interconnected mechanical systems. For applications such as haptic rendering of large, complex virtual environments, dynamic simulation software and hardware is still too slow to afford accurate performance in real-time. In particular, mechanisms with closed kinematic chains necessitate solutions to a set of differential equation with algebraic constraints (DAE\&$\#$39;s), that are often too heavy and stiff to be computed in real-time by present-day single-processor machines. On the other hand, the structure of most state-of-the-art algorithms does not easily lend itself to parallelization. In this paper, we propose and experimentally verify a technique for DAE simulation that profitably uses a degree of randomization to achieve efficient parallelization.

}, keywords = {Dynamics and Simulation for Virtual Reality, Haptics}, author = {A. Bicchi and L. Pallottino and M. Bray and P. Perdomi} }