Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Zimmerman, Nicky"'
Autor:
Zimmerman, Nicky, Sodano, Matteo
Lifelong localization is crucial for enabling the autonomy of service robots. In this paper, we present an overview of our past research on long-term localization and mapping, exploiting geometric priors such as floor plans and integrating textual an
Externí odkaz:
http://arxiv.org/abs/2410.12362
Global localization is essential in enabling robot autonomy, and collaborative localization is key for multi-robot systems. In this paper, we address the task of collaborative global localization under computational and communication constraints. We
Externí odkaz:
http://arxiv.org/abs/2404.02010
Nano-sized unmanned aerial vehicles (UAVs) are well-fit for indoor applications and for close proximity to humans. To enable autonomy, the nano-UAV must be able to self-localize in its operating environment. This is a particularly-challenging task du
Externí odkaz:
http://arxiv.org/abs/2310.12536
Autor:
Moosmann, Julian, Mueller, Hanna, Zimmerman, Nicky, Rutishauser, Georg, Benini, Luca, Magno, Michele
This paper deploys and explores variants of TinyissimoYOLO, a highly flexible and fully quantized ultra-lightweight object detection network designed for edge systems with a power envelope of a few milliwatts. With experimental measurements, we prese
Externí odkaz:
http://arxiv.org/abs/2307.05999
Object-based maps are relevant for scene understanding since they integrate geometric and semantic information of the environment, allowing autonomous robots to robustly localize and interact with on objects. In this paper, we address the task of con
Externí odkaz:
http://arxiv.org/abs/2303.10959
Autor:
Müller, Hanna, Zimmerman, Nicky, Polonelli, Tommaso, Magno, Michele, Behley, Jens, Stachniss, Cyrill, Benini, Luca
Nano-size unmanned aerial vehicles (UAVs) hold enormous potential to perform autonomous operations in complex environments, such as inspection, monitoring or data collection. Moreover, their small size allows safe operation close to humans and agile
Externí odkaz:
http://arxiv.org/abs/2212.00710
Autor:
Kuang, Haofei, Chen, Xieyuanli, Guadagnino, Tiziano, Zimmerman, Nicky, Behley, Jens, Stachniss, Cyrill
Determining the state of a mobile robot is an essential building block of robot navigation systems. In this paper, we address the problem of estimating the robots pose in an indoor environment using 2D LiDAR data and investigate how modern environmen
Externí odkaz:
http://arxiv.org/abs/2210.03113
Lifelong localization in a given map is an essential capability for autonomous service robots. In this paper, we consider the task of long-term localization in a changing indoor environment given sparse CAD floor plans. The commonly used pre-built ma
Externí odkaz:
http://arxiv.org/abs/2210.01456
Autor:
Zimmerman, Nicky, Wiesmann, Louis, Guadagnino, Tiziano, Läbe, Thomas, Behley, Jens, Stachniss, Cyrill
Robust localization in a given map is a crucial component of most autonomous robots. In this paper, we address the problem of localizing in an indoor environment that changes and where prominent structures have no correspondence in the map built at a
Externí odkaz:
http://arxiv.org/abs/2203.12647
Autor:
Ferri, Marco, Mantegazza, Dario, Cereda, Elia, Zimmerman, Nicky, Gambardella, Luca M., Palossi, Daniele, Guzzi, Jérôme, Giusti, Alessandro
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synthetic background substitution to learn a lightweight CNN model from a s
Externí odkaz:
http://arxiv.org/abs/2110.14491