A Hybrid Learning and Optimization Framework to Achieve Physically
Interactive Tasks with Mobile Manipulators

A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks with Mobile Manipulators

28 March 2022

Elena De Momi

Papers citing "A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks with Mobile Manipulators"

7 / 7 papers shown

Title
Automatic Derivation of an Optimal Task Frame for Learning and Controlling Contact-Rich Tasks Ali Mousavi Mohammadi M. Vochten Erwin Aertbeliën J. De Schutter 46 0 0 02 Apr 2024
DITTO: Demonstration Imitation by Trajectory Transformation Nick Heppert Max Argus Tim Welschehold Thomas Brox Abhinav Valada 67 16 0 22 Mar 2024
A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators Jianzhuang Zhao Francesco Tassi Yanlong Huang Elena De Momi Arash Ajoudani 34 0 0 21 Feb 2024
A Passive Variable Impedance Control Strategy with Viscoelastic Parameters Estimation of Soft Tissues for Safe Ultrasonography Luca Beber Edoardo Lamon D. Nardi Daniele Fontanelli Matteo Saveriano Luigi Palopoli 8 6 0 26 Sep 2023
Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly Sebastian Hjorth Edoardo Lamon D. Chrysostomou Arash Ajoudani 17 11 0 07 Feb 2023
Impact-Friendly Object Catching at Non-Zero Velocity Based on Combined Optimization and Learning Jianzhu Zhao G. J. G. Lahr Francesco Tassi A. Santopaolo Elena De Momi Arash Ajoudani 36 4 0 26 Sep 2022
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 39 147 0 13 Oct 2020