15 citations · 15 across the 3 of their papers we have counts for
19 papers
Mapless Humanoid Navigation Using Learned Latent Dynamics
Andre Brandenburger, Diego Rodriguez, Sven Behnke
In this paper, we propose a novel Deep Reinforcement Learning approach to address the mapless navigation problem, in which the locomotion actions of a humanoid robot are taken onli…
DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning
Diego Rodriguez, Sven Behnke
Bipedal walking is one of the most difficult but exciting challenges in robotics. The difficulties arise from the complexity of high-dimensional dynamics, sensing and actuation lim…
NimbRo-OP2X: Affordable Adult-sized 3D-printed Open-Source Humanoid Robot for Research
Grzegorz Ficht, Hafez Farazi, Diego Rodriguez +4
For several years, high development and production costs of humanoid robots restricted researchers interested in working in the field. To overcome this problem, several research gr…
Category-Level 3D Non-Rigid Registration from Single-View RGB Images
Diego Rodriguez, Florian Huber, Sven Behnke
In this paper, we propose a novel approach to solve the 3D non-rigid registration problem from RGB images using Convolutional Neural Networks (CNNs). Our objective is to find a def…
RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities
Diego Rodriguez, Hafez Farazi, Grzegorz Ficht +7
Individual and team capabilities are challenged every year by rule changes and the increasing performance of the soccer teams at RoboCup Humanoid League. For RoboCup 2019 in the Ad…
Autonomous Bimanual Functional Regrasping of Novel Object Class Instances
Dmytro Pavlichenko, Diego Rodriguez, Christian Lenz +2
In human-made scenarios, robots need to be able to fully operate objects in their surroundings, i.e., objects are required to be functionally grasped rather than only picked. This…