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Core challenges of social robot navigation: A survey
Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …
variety of engineering and human factors challenges. These challenges have motivated a …
[HTML][HTML] Localization strategies for autonomous mobile robots: A review
PK Panigrahi, SK Bisoy - Journal of King Saud University-Computer and …, 2022 - Elsevier
Localization forms the heart of various autonomous mobile robots. For efficient navigation,
these robots need to adopt effective localization strategy. This paper, presents a …
these robots need to adopt effective localization strategy. This paper, presents a …
Cows on pasture: Baselines and benchmarks for language-driven zero-shot object navigation
For robots to be generally useful, they must be able to find arbitrary objects described by
people (ie, be language-driven) even without expensive navigation training on in-domain …
people (ie, be language-driven) even without expensive navigation training on in-domain …
RTAB‐Map as an open‐source lidar and visual simultaneous localization and map** library for large‐scale and long‐term online operation
Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
A survey on global lidar localization: Challenges, advances and open problems
H Yin, X Xu, S Lu, X Chen, R **: A survey of current trends in autonomous driving
In this paper, we propose a survey of the Simultaneous Localization And Map** (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …
field when considering the recent evolution of autonomous driving. The growing interest …
Computer vision for autonomous vehicles: Problems, datasets and state of the art
Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …
Representation granularity enables time-efficient autonomous exploration in large, complex worlds
We propose a dual-resolution scheme to achieve time-efficient autonomous exploration with
one or many robots. The scheme maintains a high-resolution local map of the robot's …
one or many robots. The scheme maintains a high-resolution local map of the robot's …