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Neural Fields in Robotics: A Survey
Neural Fields have emerged as a transformative approach for 3D scene representation in
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots
We present a framework, DISORF, to enable online 3D reconstruction and visualization of
scenes captured by resource-constrained mobile robots and edge devices. To address the …
scenes captured by resource-constrained mobile robots and edge devices. To address the …
FogROS2-FT: Fault Tolerant Cloud Robotics
Cloud robotics enables robots to offload complex computational tasks to cloud servers for
performance and ease of management. However, cloud compute can be costly, cloud …
performance and ease of management. However, cloud compute can be costly, cloud …
FogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics
Cloud robotics enables robots to offload computationally intensive tasks to cloud servers for
performance, cost, and ease of management. However, the network and cloud computing …
performance, cost, and ease of management. However, the network and cloud computing …
A generic approach for reactive stateful mitigation of application failures in distributed robotics systems deployed with Kubernetes
F Mirus, F Pasch, N Singhal, KU Scholl - arxiv preprint arxiv:2410.18825, 2024 - arxiv.org
Offloading computationally expensive algorithms to the edge or even cloud offers an
attractive option to tackle limitations regarding on-board computational and energy …
attractive option to tackle limitations regarding on-board computational and energy …
FogROS2-Config: Optimizing Latency and Cost for Multi-Cloud Robot Applications
Cloud service providers provide over 50,000 distinct and dynamically changing set of cloud
server options. To help roboticists make cost-effective decisions, we present FogROS2 …
server options. To help roboticists make cost-effective decisions, we present FogROS2 …