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A current problem in the design of small and lightweight autonomous agricultural robots is how to create sufficient traction on soil to pull an agricultural implement or load. One promising solution is offered by the interlock drive system,…

Robotics · Computer Science 2021-04-01 David Reiser , Volker Nannen , Gero Hubel , Hans W. Griepentrog

This project aims to develop and demonstrate a ground robot with intelligence capable of conducting semi-autonomous farm operations for different low-heights vegetable crops referred as Agriculture Application Robot(AAR). AAR is a…

Robotics · Computer Science 2023-09-08 Vinay Ummadi , Aravind Gundlapalle , Althaf Shaik , Shaik Mohammad Rafi B

Autonomous navigation is the foundation of agricultural robots. This paper focuses on developing an advanced autonomous navigation system for a rover operating within row-based crops. A position-agnostic system is proposed to address the…

Vine robots are a class of soft continuum robots that grow via tip eversion, allowing them to move their tip without relying on reaction forces from the environment. Constructed from compliant materials such as fabric and thin, flexible…

Robotics · Computer Science 2023-06-05 Nathaniel Agharese , Allison M. Okamura

Autonomous navigation is a pre-requisite for field robots to carry out precision agriculture tasks. Typically, a robot has to navigate through a whole crop field several times during a season for monitoring the plants, for applying…

Robotics · Computer Science 2019-09-30 Alireza Ahmadi , Lorenzo Nardi , Nived Chebrolu , Cyrill Stachniss

Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practical usage, and their financial impact constitutes a…

Modern agriculture faces escalating challenges: increasing demand for food, labor shortages, and the urgent need to reduce environmental impact. Agricultural robotics has emerged as a promising response to these pressures, enabling the…

Robotics · Computer Science 2025-06-23 Stephane Ngnepiepaye Wembe , Vincent Rousseau , Johann Laconte , Roland Lenain

The land used for grazing cattle takes up about one-third of the land in the United States. These areas can be highly rugged. Yet, they need to be maintained to prevent weeds from taking over the nutritious grassland. This can be a daunting…

Robotics · Computer Science 2021-11-23 Parikshit Maini , Burak M. Gonultas , Volkan Isler

Usage of purely vision based solutions for row switching is not well explored in existing vision based crop row navigation frameworks. This method only uses RGB images for local feature matching based visual feedback to exit crop row. Depth…

Robotics · Computer Science 2023-06-12 Rajitha de Silva , Grzegorz Cielniak , Junfeng Gao

In this paper, we present a novel method to control a rigidly connected location on the vehicle, such as a point on the implement in case of agricultural tasks. Agricultural robots are transforming modern farming by enabling precise and…

Systems and Control · Electrical Eng. & Systems 2025-03-11 Stephane Ngnepiepaye Wembe , Vincent Rousseau , Johann Laconte , Roland Lenain

Autonomous agricultural vehicles (AAVs), including field robots and autonomous tractors, are becoming essential in modern farming by improving efficiency and reducing labor costs. A critical task in AAV operations is headland turning…

Robotics · Computer Science 2025-01-29 Peng Wei , Chen Peng , Wenwu Lu , Yuankai Zhu , Stavros Vougioukas , Zhenghao Fei , Zhikang Ge

We propose a novel method for autonomous legged robot navigation in densely vegetated environments with a variety of pliable/traversable and non-pliable/untraversable vegetation. We present a novel few-shot learning classifier that can be…

Precise robotic weed control plays an essential role in precision agriculture. It can help significantly reduce the environmental impact of herbicides while reducing weed management costs for farmers. In this paper, we demonstrate that a…

Autonomous navigation is crucial for various robotics applications in agriculture. However, many existing methods depend on RTK-GPS devices, which can be susceptible to loss of radio signal or intermittent reception of corrections from the…

Robotics · Computer Science 2024-09-20 Ruiji Liu , Francisco Yandun , George Kantor

The use of an efficient coverage planning method is key for autonomous navigation in agricultural environments, where a robot must cover large areas of crops. This paper generally reviews the current state of the art of coverage path…

Robotics · Computer Science 2024-07-03 Ismael Ait , Ernesto Kofman , Taihú Pire

Climate change, increase in world population and the war in Ukraine have led nations such as the UK to put a larger focus on food security, while simultaneously trying to halt declines in biodiversity and reduce risks to human health posed…

Robotics · Computer Science 2023-03-10 Ionut Moraru , Tsvetan Zhivkov , Shaun Coutts , Dom Li , Elizabeth I. Sklar

Navigating cluttered environments is a challenging task for any mobile system. Existing approaches for ground-based mobile systems primarily focus on small wheeled robots, which face minimal constraints with overhanging obstacles and cannot…

Robotics · Computer Science 2024-10-24 Monisha Mushtary Uttsha , Cedric Le Gentil , Lan Wu , Teresa Vidal-Calleja

Planetary rovers operating in extraterrestrial environments often encounter significant mobility challenges due to varying terrain features such as gradients and granularity. While recent works in multimodal wheel design have explored…

Robotics · Computer Science 2026-05-26 Vincent Griffo , Yashwanth Kumar Nakka

With the development of robotics, ground robots are no longer limited to planar motion. Passive height variation due to complex terrain and active height control provided by special structures on robots require a more general navigation…

Robotics · Computer Science 2023-02-08 Jingping Wang , Long Xu , Haoran Fu , Zehui Meng , Chao Xu , Yanjun Cao , Ximin Lyu , Fei Gao

Precision agriculture relies heavily on effective weed management to ensure robust crop yields. This study presents RoWeeder, an innovative framework for unsupervised weed mapping that combines crop-row detection with a noise-resilient deep…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Pasquale De Marinis , Gennaro Vessio , Giovanna Castellano