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20152022
most citedBalancing and Walking Using Full Dynamics LQR Control With Contact Constraints

39 citations · 44 across the 17 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

math.OC2021

iRiSC: Iterative Risk Sensitive Control for Nonlinear Systems with Imperfect Observations

Bilal Hammoud, Armand Jordana, Ludovic Righetti

This work addresses the problem of risk-sensitive control for nonlinear systems with imperfect state observations, extending results for the linear case. In particular, we derive a…

cs.RO2021

A unified framework for walking and running of bipedal robots

Mahrokh Ghoddousi Boroujeni, Elham Daneshmand, Ludovic Righetti +1

In this paper, we propose a novel framework capable of generating various walking and running gaits for bipedal robots. The main goal is to relax the fixed center of mass (CoM) hei…

math.OC2021

IPM-MPC: An Efficient Null-Space Method Based Interior-Point Method for Model Predictive Control

Kai Pfeiffer, Ludovic Righetti

Linear Model Predictive Control (MPC) is a widely used method to control systems with linear dynamics. Efficient interior-point methods have been proposed which leverage the block…

math.DS2021

Slow-fast dynamics of strongly coupled adaptive frequency oscillators

Ludovic Righetti, Jonas Buchli, Auke J. Ijspeert

Oscillators have two main limitations: their synchronization properties are limited (i.e they have a finite synchronization region) and they have no memory of past interactions (i.…

cs.RO2021

Rapid Convex Optimization of Centroidal Dynamics using Block Coordinate Descent

Paarth Shah, Avadesh Meduri, Wolfgang Merkt +3

In this paper we explore the use of block coordinate descent (BCD) to optimize the centroidal momentum dynamics for dynamically consistent multi-contact behaviors. The centroidal d…

cs.LG20211 cited

Learning Dynamical Systems from Noisy Sensor Measurements using Multiple Shooting

Armand Jordana, Justin Carpentier, Ludovic Righetti

Modeling dynamical systems plays a crucial role in capturing and understanding complex physical phenomena. When physical models are not sufficiently accurate or hardly describable…