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Filippo M. Smaldone

4 accepted papers

2022

Handling Non-Convex Constraints in MPC-Based Humanoid Gait Generation

IROS 2022poster

In most MPC-based schemes used for humanoid gait generation, simple Quadratic Programming (QP) problems are considered for real-time implementation. Since these only allow for convex constraints, the generated gait may be conservative. In this paper we focus on the non-convex reachable region of the…

Cited by 8SourceScholar
2022

Task-Oriented Generation of Stable Motions for Wheeled Inverted Pendulum Robots

ICRA 2022poster

We present a whole-body control architecture for the generation of stable task-oriented motions in Wheeled Inverted Pendulum (WIP) robots. Controlling WIP systems is challenging because the successful execution of tasks is subordinate to the ability to maintain balance. Our feedback control approach…

Cited by 2SourceScholar
2021

Feasibility-Driven Step Timing Adaptation for Robust MPC-Based Gait Generation in Humanoids

RA-L 2021

The feasibility region of a Model Predictive Control (MPC) algorithm is the subset of the state space in which the constrained optimization problem to be solved is feasible. In our recent Intrinsically Stable MPC (IS-MPC) method for humanoid gait generation, feasibility means being able to satisfy t

Cited by 15SourceScholar
2020

ZMP Constraint Restriction for Robust Gait Generation in Humanoids

ICRA 2020poster

We present an extension of our previously proposed IS-MPC method for humanoid gait generation aimed at obtaining robust performance in the presence of disturbances. The considered disturbance signals vary in a range of known amplitude around a mid-range value that can change at each sampling time, b…

Cited by 12SourceScholar