Neural Fields in Robotics: A Survey

MZ Irshad, M Comi, YC Lin, N Heppert… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots

C Li, H Fan, X Huang, R Liang… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
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 …

FogROS2-FT: Fault Tolerant Cloud Robotics

K Chen, K Hari, T Chung, M Wang… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
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 …

FogROS2-PLR: Probabilistic Latency-Reliability For Cloud Robotics

K Chen, N Tian, C Juette, T Qiu, L Ren… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

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 …

FogROS2-Config: Optimizing Latency and Cost for Multi-Cloud Robot Applications

K Chen, K Hari, R Khare, C Le, T Chung… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …