Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities

no code implementations • 18 Oct 2022 • JongSeok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel

This article presents a novel telepresence system for advancing aerial manipulation in dynamic and unstructured environments.

Active Learning object-detection +2

Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

no code implementations • 25 Nov 2020 • Tommaso Bradde, Samuel Chevalier, Marco De Stefano, Stefano Grivet-Talocia, Luca Daniel

This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input multi-output (MIMO) dynamical systems via rational transfer function matrices.

Visual-Inertial Telepresence for Aerial Manipulation

no code implementations • 25 Mar 2020 • Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak

This paper presents a novel telepresence system for enhancing aerial manipulation capabilities.

Object Object Tracking