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20182024
most citedVolumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter

44 citations · 89 across the 18 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.RO2021

Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar

Rik Bähnemann, Nicholas Lawrance, Lucas Streichenberg +5

Ground penetrating radar mounted on micro aerial vehicle (MAV) is a promising tool to assist humanitarian landmine clearance. However, the quality of synthetic aperture radar image…

cs.RO2021

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd

Fabien Grzeskowiak, David Gonon, Daniel Dugas +7

The evaluation of robot capabilities to navigate human crowds is essential to conceive new robots intended to operate in public spaces. This paper initiates the development of a be…

cs.RO2021

CalQNet -- Detection of Calibration Quality for Life-Long Stereo Camera Setups

Jiapeng Zhong, Zheyu Ye, Andrei Cramariuc +4

Many mobile robotic platforms rely on an accurate knowledge of the extrinsic calibration parameters, especially systems performing visual stereo matching. Although a number of accu…

cs.RO2021

Online Informative Path Planning for Active Information Gathering of a 3D Surface

Hai Zhu, Jen Jen Chung, Nicholas R. J. Lawrance +2

This paper presents an online informative path planning approach for active information gathering on three-dimensional surfaces using aerial robots. Most existing works on surface…

cs.RO2021★ 44 cited

Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter

Michel Breyer, Jen Jen Chung, Lionel Ott +2

General robot grasping in clutter requires the ability to synthesize grasps that work for previously unseen objects and that are also robust to physical interactions, such as colli…