The Development of an Autonomous Salt Field Robot

A large number of robots are used in various special environments and the operating environment of most robots is flat ground or water. Nevertheless, little research has been conducted on salt field robots because they are typically used in an environment with both soil and water, e.g., a muddy terrain environment would make it very easy for robots to slip. To develop the salt field robot we built a screw-propelled vehicle including chassis, wheels, stirring and collecting system, control system, and LiDar and IMU sensors. We fabricate the robot chassis using the screw propeller wheel dynamics model, as well as suggesting that white steel be used as the anti-corrosion material and that the exposed surfaces be painted with anticorrosion paint. Additionally, we employ the Rapidly-exploring Random Tree (RRT)-based automatic exploration algorithm to facilitate the robot in fulfilling autonomous exploration and mapping functions. This implementation is further bolstered by amalgamating algorithm packages such as gmapping and move base, which jointly contribute towards the accomplishment of dynamic obstacle avoidance tasks.

Authors

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/icras65818.2025.11108874
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Development of an Autonomous Salt Field Robot

Pei Chi, David Navarro-Alarcón, Mengying Li, Xiaola Guo
Modular Robots and Swarm Intelligence
article

The Development of an Autonomous Salt Field Robot

Pei Chi, David Navarro-Alarcón, Mengying Li, Xiaola Guo
article en

Abstract

A large number of robots are used in various special environments and the operating environment of most robots is flat ground or water. Nevertheless, little research has been conducted on salt field robots because they are typically used in an environment with both soil and water, e.g., a muddy terrain environment would make it very easy for robots to slip. To develop the salt field robot we built a screw-propelled vehicle including chassis, wheels, stirring and collecting system, control system, and LiDar and IMU sensors. We fabricate the robot chassis using the screw propeller wheel dynamics model, as well as suggesting that white steel be used as the anti-corrosion material and that the exposed surfaces be painted with anticorrosion paint. Additionally, we employ the Rapidly-exploring Random Tree (RRT)-based automatic exploration algorithm to facilitate the robot in fulfilling autonomous exploration and mapping functions. This implementation is further bolstered by amalgamating algorithm packages such as gmapping and move base, which jointly contribute towards the accomplishment of dynamic obstacle avoidance tasks.

Beijing Academy of Artificial Intelligence (CN), Beihang University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 79%
Modular Robots and Swarm Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Development of an Autonomous Salt Field Robot — Pei Chi, David Navarro-Alarcón, et al. · (2025) | TGRS Research Map | TGRS