activity
20182020
most citedCapture Steps: Robust Walking for Humanoid Robots

23 citations · 38 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO202023 cited

Capture Steps: Robust Walking for Humanoid Robots

Marcell Missura, Maren Bennewitz, Sven Behnke

Stable bipedal walking is a key prerequisite for humanoid robots to reach their potential of being versatile helpers in our everyday environments. Bipedal walking is, however, a co…

cs.RO201915 cited

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…

cs.RO2018

Learning to Improve Capture Steps for Disturbance Rejection in Humanoid Soccer

Marcell Missura, Cedrick Münstermann, Philipp Allgeuer +5

Over the past few years, soccer-playing humanoid robots have advanced significantly. Elementary skills, such as bipedal walking, visual perception, and collision avoidance have mat…

cs.RO2018

A ROS-based Software Framework for the NimbRo-OP Humanoid Open Platform

Philipp Allgeuer, Max Schwarz, Julio Pastrana +3

Over the past few years, a number of successful humanoid platforms have been developed, including the Nao and the DARwIn-OP, both of which are used by many research groups for the…

cs.RO2018

Humanoid TeenSize Open Platform NimbRo-OP

Max Schwarz, Julio Pastrana, Philipp Allgeuer +4

In recent years, the introduction of affordable platforms in the KidSize class of the Humanoid League has had a positive impact on the performance of soccer robots. The lack of rea…