activity
20192026
most citedTriFinger: An Open-Source Robot for Learning Dexterity

24 citations · 24 across the 7 of their papers we have counts for

collaborators

9 papers

cs.NI2026

A Compositional Perspective on Communication-Control Co-Design for Mobile Broadband Systems Beyond 6G

Angelo Vera-Rivera, Atefeh Termehchi, Ekram Hossain

Anticipated applications of beyond sixth-generation (B6G) mobile broadband networks will require the co-design of communication and control subsystems within the network architectu…

cs.RO2026

System Design of the Ultra Mobility Vehicle: A Driving, Balancing, and Jumping Bicycle Robot

Benjamin Bokser, Daniel Gonzalez, Aaron Preston +39

Trials cyclists and mountain bike riders can hop, jump, balance, and drive on one or both wheels. This versatility allows them to achieve speed and energy-efficiency on smooth terr…

math.OC2022

Stagewise Newton Method for Dynamic Game Control with Imperfect State Observation

Armand Jordana, Bilal Hammoud, Justin Carpentier +1

In this letter, we study dynamic game optimal control with imperfect state observations and introduce an iterative method to find a local Nash equilibrium. The algorithm consists o…

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

Exponential Integration for Efficient and Accurate Multi-Body Simulation with Stiff Viscoelastic Contacts

Bilal Hammoud, Luca Olivieri, Ludovic Righetti +2

The simulation of multi-body systems with frictional contacts is a fundamental tool for many fields, such as robotics, computer graphics, and mechanics. Hard frictional contacts ar…

cs.RO2020

Leveraging Forward Model Prediction Error for Learning Control

Sarah Bechtle, Bilal Hammoud, Akshara Rai +2

Learning for model based control can be sample-efficient and generalize well, however successfully learning models and controllers that represent the problem at hand can be challen…

cs.RO2020

Impedance Optimization for Uncertain Contact Interactions Through Risk Sensitive Optimal Control

Bilal Hammoud, Majid Khadiv, Ludovic Righetti

This paper addresses the problem of computing optimal impedance schedules for legged locomotion tasks involving complex contact interactions. We formulate the problem of impedance…

cs.RO2020★ 24 cited

TriFinger: An Open-Source Robot for Learning Dexterity

Manuel Wüthrich, Felix Widmaier, Felix Grimminger +12

Dexterous object manipulation remains an open problem in robotics, despite the rapid progress in machine learning during the past decade. We argue that a hindrance is the high cost…

cs.RO2019

Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control

Carlos Mastalli, Rohan Budhiraja, Wolfgang Merkt +7

We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently…