2 citations · 3 across the 16 of their papers we have counts for
16 papers
Benchmarking Robots for Everyday Environments: From Lab Experiments to Real-World Operations
Raphael Memmesheimer, Martina Overbeck, Dominik Beyer +20
This study presents an interdisciplinary process for benchmarking service robots in public everyday environments, addressing the gap between laboratory metrics and real-world opera…
Sample, Simulate, Select: Physics-in-the-Loop Text-to-Motion for Humanoids Without Training
Raphael Memmesheimer, Sven Behnke
Text-to-motion models generate plausible human motion but do not model a robot's dynamics; whole-body tracking controllers execute robot references reliably but cannot replan an in…
ContactFlow: A video action conditioning that transfers across embodiments
Sami Azirar, Enrico Pallotta, Jan Nogga +3
World models offer a promising route toward robot planning by enabling agents to imagine and verify the consequences of actions before execution. However, current video-based world…
Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation
Vitalii Tutevych, Raphael Memmesheimer, Luca Eichler +4
Reliable object perception is necessary for general-purpose service robots. Open-vocabulary detectors struggle to generalize beyond a few classes and fully supervised training of o…
OMCL: Open-vocabulary Monte Carlo Localization
Evgenii Kruzhkov, Raphael Memmesheimer, Sven Behnke
Robust robot localization is an important prerequisite for navigation, but it becomes challenging when the map and robot measurements are obtained from different sensors. Prior met…
EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation
Jonas Bode, Raphael Memmesheimer, Sven Behnke
Acting in human environments is a crucial capability for general-purpose robots, necessitating a robust understanding of natural language and its application to physical tasks. Thi…
Integration of the TIAGo Robot into Isaac Sim with Mecanum Drive Modeling and Learned S-Curve Velocity Profiles
Vincent Schoenbach, Marvin Wiedemann, Raphael Memmesheimer +2
Efficient physics simulation has significantly accelerated research progress in robotics applications such as grasping and assembly. The advent of GPU-accelerated simulation framew…
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking
Bastian Pätzold, Jan Nogga, Sven Behnke
Vision-language models (VLMs) excel in visual understanding but often lack reliable grounding capabilities and actionable inference rates. Integrating them with open-vocabulary obj…
LIAM: Multimodal Transformer for Language Instructions, Images, Actions and Semantic Maps
Yihao Wang, Raphael Memmesheimer, Sven Behnke
The availability of large language models and open-vocabulary object perception methods enables more flexibility for domestic service robots. The large variability of domestic task…
RoboCup@Home 2024 OPL Winner NimbRo: Anthropomorphic Service Robots using Foundation Models for Perception and Planning
Raphael Memmesheimer, Jan Nogga, Bastian Pätzold +8
We present the approaches and contributions of the winning team NimbRo@Home at the RoboCup@Home 2024 competition in the Open Platform League held in Eindhoven, NL. Further, we desc…
Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
Svetlana Seliunina, Artem Otelepko, Raphael Memmesheimer +1
Robots need to perceive persons in their surroundings for safety and to interact with them. In this paper, we present a person segmentation and action classification approach that…
Marker-free Human Gait Analysis using a Smart Edge Sensor System
Eva Katharina Bauer, Simon Bultmann, Sven Behnke
The human gait is a complex interplay between the neuronal and the muscular systems, reflecting an individual's neurological and physiological condition. This makes gait analysis a…
A Comparison of Prompt Engineering Techniques for Task Planning and Execution in Service Robotics
Jonas Bode, Bastian Pätzold, Raphael Memmesheimer +1
Recent advances in LLM have been instrumental in autonomous robot control and human-robot interaction by leveraging their vast general knowledge and capabilities to understand and…
Anticipating Human Behavior for Safe Navigation and Efficient Collaborative Manipulation with Mobile Service Robots
Simon Bultmann, Raphael Memmesheimer, Jan Nogga +2
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 observ…
Self-Centering 3-DoF Feet Controller for Hands-Free Locomotion Control in Telepresence and Virtual Reality
Raphael Memmesheimer, Christian Lenz, Max Schwarz +2
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 yi…
Cleaning Robots in Public Spaces: A Survey and Proposal for Benchmarking Based on Stakeholders Interviews
Raphael Memmesheimer, Martina Overbeck, Bjoern Kral +4
Autonomous cleaning robots for public spaces have potential for addressing current societal challenges, such as labor shortages and cleanliness in public spaces. Other application…