activity
20142023
most citedLearning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

166 citations · 645 across the 36 of their papers we have counts for

collaborators
Showing 2017Show all

11 papers · 1 filter

cs.RO2017

Contact Force and Joint Torque Estimation Using Skin

Francisco Javier Andrade Chavez, Joan Kangro, Silvio Traversaro +2

In this paper, we present algorithms to estimate external contact forces and joint torques using only skin, i.e. distributed tactile sensors. To deal with gaps between the tactile…

cs.RO2017

An Optimization Based Control Framework for Balancing and Walking: Implementation on the iCub Robot

Marie Charbonneau, Gabriele Nava, Francesco Nori +1

A whole-body torque control framework adapted for balancing and walking tasks is presented in this paper. In the proposed approach, centroidal momentum terms are excluded in favor…

cs.RO2017

Modeling and Control of Humanoid Robots in Dynamic Environments: iCub Balancing on a Seesaw

Gabriele Nava, Daniele Pucci, Nuno Guedelha +4

Forthcoming applications concerning humanoid robots may involve physical interaction between the robot and a dynamic environment. In such scenario, classical balancing and walking…

cs.RO2017

A Receding Horizon Push Recovery Strategy for Balancing the iCub Humanoid Robot

Stefano Dafarra, Francesco Romano, Francesco Nori

Balancing and reacting to strong and unexpected pushes is a critical requirement for humanoid robots. We recently designed a capture point based approach which interfaces with a mo…

cs.RO2017★ 24 cited

Torque-Controlled Stepping-Strategy Push Recovery: Design and Implementation on the iCub Humanoid Robot

Stefano Dafarra, Francesco Romano, Francesco Nori

One of the challenges for the robotics community is to deploy robots which can reliably operate in real world scenarios together with humans. A crucial requirement for legged robot…

cs.RO2017

Inverse, forward and other dynamic computations computationally optimized with sparse matrix factorizations

Francesco Nori

We propose an algorithm to compute the dynamics of articulated rigid-bodies with different sensor distributions. Prior to the on-line computations, the proposed algorithm performs…

cs.RO2017

A Predictive Momentum-Based Whole-Body Torque Controller: Theory and Simulations for the iCub Stepping

Stefano Dafarra, Francesco Romano, Gabriele Nava +1

When balancing, a humanoid robot can be easily subjected to unexpected disturbances like external pushes. In these circumstances, reactive movements as steps become a necessary req…

math.OC2017

Momentum Control of Humanoid Robots with Series Elastic Actuators

Gabriele Nava, Daniele Pucci, Francesco Nori

Humanoid robots may require a degree of compliance at the joint level for improving efficiency, shock tolerance, and safe interaction with humans. The presence of joint elasticity,…

cs.RO2017

Momentum Control of an Underactuated Flying Humanoid Robot

Daniele Pucci, Silvio Traversaro, Francesco Nori

The paper takes the first step towards the de- velopment of a control framework for underactuated flying humanoid robots. These robots may thus have the capacities of flight, conta…

cs.RO2017★ 19 cited

On Centroidal Dynamics and Integrability of Average Angular Velocity

Alessandro Saccon, Silvio Traversaro, Francesco Nori +1

In the literature on robotics and multibody dynamics, the concept of average angular velocity has received considerable attention in recent years. We address the question of whethe…

cs.RO2017

A Whole-Body Software Abstraction layer for Control Design of free-floating Mechanical Systems

Francesco Romano, Silvio Traversaro, Daniele Pucci +3

In this paper, we propose a software abstraction layer to simplify the design and synthesis of whole-body controllers without making any preliminary assumptions on the control law…