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

18 October 2022

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

8 / 8 papers shown

Title
Evaluation of Human-Robot Interfaces based on 2D/3D Visual and Haptic Feedback for Aerial Manipulation Julien Mellet Mike Allenspach Eugenio Cuniato Claudio Pacchierotti Roland Siegwart M. Tognon 11 1 0 20 Oct 2024
DexGANGrasp: Dexterous Generative Adversarial Grasping Synthesis for Task-Oriented Manipulation Qian Feng David S. Martinez Lema M. Malmir Hang Li Jianxiang Feng Zhaopeng Chen Alois C. Knoll 77 4 0 24 Jul 2024
Multi-fingered Dynamic Grasping for Unknown Objects Yannick Burkhardt Qian Feng Jianxiang Feng Karan Sharma Zhaopeng Chen Alois C. Knoll 14 3 0 27 Oct 2023
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge Tomáš Rouček M. Pecka P. Čížek T. Petříček J. Bayer ... J. Faigl Karel Zimmermann M. Saska Tomáš Svoboda T. Krajník 50 35 0 12 Oct 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 42 13 0 23 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 43 21 0 20 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015