activity
20192022
most citedCapture Steps: Robust Walking for Humanoid Robots

23 citations · 27 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO2022

Fruit Mapping with Shape Completion for Autonomous Crop Monitoring

Salih Marangoz, Tobias Zaenker, Rohit Menon +1

Autonomous crop monitoring is a difficult task due to the complex structure of plants. Occlusions from leaves can make it impossible to obtain complete views about all fruits of, e…

cs.RO2021

Combining Local and Global Viewpoint Planning for Fruit Coverage

Tobias Zaenker, Chris Lehnert, Chris McCool +1

Obtaining 3D sensor data of complete plants or plant parts (e.g., the crop or fruit) is difficult due to their complex structure and a high degree of occlusion. However, especially…

cs.RO20211 cited

The Pitfall of More Powerful Autoencoders in Lidar-Based Navigation

Christopher Gebauer, Maren Bennewitz

The benefit of pretrained autoencoders for reinforcement learning in comparison to training on raw observations is already known [1]. In this paper, we address the generation of a…

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.RO2020

Viewpoint Planning for Fruit Size and Position Estimation

Tobias Zaenker, Claus Smitt, Chris McCool +1

Modern agricultural applications require knowledge about the position and size of fruits on plants. However, occlusions from leaves typically make obtaining this information diffic…

cs.RO2020

PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention

Claus Smitt, Michael Halstead, Tobias Zaenker +2

We present PATHoBot an autonomous crop surveying and intervention robot for glasshouse environments. The aim of this platform is to autonomously gather high quality data and also e…