activity
20242026
most citedLeveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking

2 citations · 3 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.RO2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…