Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Memmesheimer, Raphael"'
The anticipation of human behavior is a crucial capability for robots to interact with humans safely and efficiently. We employ a smart edge sensor network to provide global observations along with future predictions and goal information to integrate
Externí odkaz:
http://arxiv.org/abs/2410.05015
We present a novel seated feet controller for handling 3-DoF aimed to control locomotion for telepresence robotics and virtual reality environments. Tilting the feet on two axes yields in forward, backward and sideways motion. In addition, a separate
Externí odkaz:
http://arxiv.org/abs/2408.02319
Autor:
Memmesheimer, Raphael, Overbeck, Martina, Kral, Bjoern, Steffen, Lea, Behnke, Sven, Gersch, Martin, Roennau, Arne
Autonomous cleaning robots for public spaces have potential for addressing current societal challenges, such as labor shortages and cleanliness in public spaces. Other application domains like autonomous driving, bin picking, or search and rescue hav
Externí odkaz:
http://arxiv.org/abs/2407.16393
Autor:
Lenz, Christian, Schwarz, Max, Rochow, Andre, Pätzold, Bastian, Memmesheimer, Raphael, Schreiber, Michael, Behnke, Sven
Robotic avatar systems can enable immersive telepresence with locomotion, manipulation, and communication capabilities. We present such an avatar system, based on the key components of immersive 3D visualization and transparent force-feedback teleman
Externí odkaz:
http://arxiv.org/abs/2308.12238
Autor:
Pätzold, Bastian, Rochow, Andre, Schreiber, Michael, Memmesheimer, Raphael, Lenz, Christian, Schwarz, Max, Behnke, Sven
Haptic perception is highly important for immersive teleoperation of robots, especially for accomplishing manipulation tasks. We propose a low-cost haptic sensing and rendering system, which is capable of detecting and displaying surface roughness. A
Externí odkaz:
http://arxiv.org/abs/2303.07186
We present an approach for estimating a mobile robot's pose w.r.t. the allocentric coordinates of a network of static cameras using multi-view RGB images. The images are processed online, locally on smart edge sensors by deep neural networks to detec
Externí odkaz:
http://arxiv.org/abs/2303.03797
Autor:
Schwarz, Max, Lenz, Christian, Memmesheimer, Raphael, Pätzold, Bastian, Rochow, Andre, Schreiber, Michael, Behnke, Sven
Robotic avatar systems promise to bridge distances and reduce the need for travel. We present the updated NimbRo avatar system, winner of the $5M grand prize at the international ANA Avatar XPRIZE competition, which required participants to build int
Externí odkaz:
http://arxiv.org/abs/2303.03297
Autor:
Pavlichenko, Dmytro, Ficht, Grzegorz, Amini, Arash, Hosseini, Mojtaba, Memmesheimer, Raphael, Villar-Corrales, Angel, Schulz, Stefan M., Missura, Marcell, Bennewitz, Maren, Behnke, Sven
Publikováno v:
In: RoboCup 2022: Robot World Cup XXV. LNCS 13561, Springer, May 2023
Beating the human world champions by 2050 is an ambitious goal of the Humanoid League that provides a strong incentive for RoboCup teams to further improve and develop their systems. In this paper, we present upgrades of our system which enabled our
Externí odkaz:
http://arxiv.org/abs/2302.02956
Autor:
Korbach, Christian, Solbach, Markus D., Memmesheimer, Raphael, Paulus, Dietrich, Tsotsos, John K.
The presentation and analysis of image data from a single viewpoint are often not sufficient to solve a task. Several viewpoints are necessary to obtain more information. The next-best-view problem attempts to find the optimal viewpoint with the grea
Externí odkaz:
http://arxiv.org/abs/2110.06766
In this paper, we present Fusion-GCN, an approach for multimodal action recognition using Graph Convolutional Networks (GCNs). Action recognition methods based around GCNs recently yielded state-of-the-art performance for skeleton-based action recogn
Externí odkaz:
http://arxiv.org/abs/2109.12946