Category-Level 3D Non-Rigid Registration from Single-View RGB Images

no code implementations • 17 Aug 2020 • Diego Rodriguez, Florian Huber, Sven Behnke

This is done by training a CNN that infers a deformation field for the visible parts of the canonical model and by employing a learned shape (latent) space for inferring the deformations of the occluded parts.

RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities

2 code implementations • 16 Dec 2019 • Diego Rodriguez, Hafez Farazi, Grzegorz Ficht, Dmytro Pavlichenko, Andre Brandenburger, Mojtaba Hosseini, Oleg Kosenko, Michael Schreiber, Marcel Missura, Sven Behnke

Individual and team capabilities are challenged every year by rule changes and the increasing performance of the soccer teams at RoboCup Humanoid League.

Robotics

NimbRo Robots Winning RoboCup 2018 Humanoid AdultSize Soccer Competitions

1 code implementation • 5 Sep 2019 • Hafez Farazi, Grzegorz Ficht, Philipp Allgeuer, Dmytro Pavlichenko, Diego Rodriguez, Andre Brandenburger, Mojtaba Hosseini, Sven Behnke

Over the past few years, the Humanoid League rules have changed towards more realistic and challenging game environments, which encourage teams to advance their robot soccer performances.

Robotics

Autonomous Dual-Arm Manipulation of Familiar Objects

no code implementations • 21 Nov 2018 • Dmytro Pavlichenko, Diego Rodriguez, Max Schwarz, Christian Lenz, Arul Selvam Periyasamy, Sven Behnke

The entire pipeline can be executed on-board and is suitable for on-line grasping scenarios.

Robotics

NimbRo-OP2X: Adult-sized Open-source 3D Printed Humanoid Robot

1 code implementation • 19 Oct 2018 • Grzegorz Ficht, Hafez Farazi, André Brandenburger, Diego Rodriguez, Dmytro Pavlichenko, Philipp Allgeuer, Mojtaba Hosseini, Sven Behnke

Humanoid robotics research depends on capable robot platforms, but recently developed advanced platforms are often not available to other research groups, expensive, dangerous to operate, or closed-source.

Robotics

Learning Postural Synergies for Categorical Grasping through Shape Space Registration

no code implementations • 18 Oct 2018 • Diego Rodriguez, Antonio Di Guardo, Antonio Frisoli, Sven Behnke

Grasping knowledge is gathered in a synergy space of the robotic hand built by following a human grasping taxonomy.

Robotics

Transferring Category-based Functional Grasping Skills by Latent Space Non-Rigid Registration

no code implementations • 14 Sep 2018 • Diego Rodriguez, Sven Behnke

Control poses for generating grasping motions are accumulated in the canonical model from grasping definitions of known objects.

Robotics