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International audienceIn this paper, we present a Nonlinear Model Predictive Control scheme, which is able to generate walking motions in multi-contact situations. Walking up and down stairs with an additional hand support is a typical example, which we address in simulation. Computing such a nonlinear control scheme is usually done with a Newton method, a potentially time-consuming procedure involving iterative linearizations. We propose here a Newton method which is specifically designed to provide at each iteration a feasible solution, always satisfying the (nonlinear) dynamic balance constraints. This results in a significant reduction in computation time, by minimizing the number of necessary iterations to reach a feasible solution

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A controller dealing with the failure of a quadrotor's motor is presented in this paper. Supposing that the failure has been already detected by the system, the quadrotor is modelled as a birotor with fixed propellers and it is controlled to follow a planned emergency landing trajectory. Theory shows that, in such a configuration, the aerial vehicle is allowed to reach any position in the Cartesian space dropping the possibility to control the yaw angle. Simulations are presented to confirm the presented methodology.

The goal of this work is to disseminate the results achieved so far within the RODYMAN project related to planning and control strategies for robotic nonprehensile manipulation. The project aims at advancing the state of the art of nonprehensile dynamic manipulation of rigid and deformable objects to future enhance the possibility of employing robots in anthropic environments. The final demonstrator of the RODYMAN project will be an autonomous pizza maker. This article is a milestone to highlight the lessons learned so far and pave the way towards future research directions and critical discussions.