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Jiahao Li, Ronja Güldenring and Lazaros Nalpantidis
Autonomous weeding robots need to accurately detect the joint stem of grassland weeds in order to control those weeds in an effective and energy-efficient manner. In this work, keypoints on joint stems and bounding boxes around weeds in grasslands are de...
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Nugun P. Jellason, Elizabeth J. Z. Robinson and Chukwuma C. Ogbaga
A fourth agricultural revolution, termed agriculture 4.0, is gradually gaining ground around the globe. It encompasses the application of smart technologies such as artificial intelligence, biotechnology, the internet of things (IoT), big data, and robot...
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This work addresses the problem of mitigating the effects of the cogging torque in permanent magnet synchronous motors, particularly brushless motors, which is a main issue in precision electric drive applications. In this work, a method for mitigating t...
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Ruth Cordova-Cardenas, Luis Emmi and Pablo Gonzalez-de-Santos
This study presents the development of a route planner, called Mission Planner, for an agricultural weeding robot that generates efficient and safe routes both in the field and on the farm using a graph-based approach. This planner optimizes the robot?s ...
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Qiang Zhou and Xin Li
This study focused on the homography estimation between the camera image and the wall map and presented a novel method (HomographyFpnNet). The high precision and low time consumption of this method will benefit many homography-related applications in rob...
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Muhammad Ali Shafique, Arslan Munir and Joonho Kong
Deep learning is employed in many applications, such as computer vision, natural language processing, robotics, and recommender systems. Large and complex neural networks lead to high accuracy; however, they adversely affect many aspects of deep learning...
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Mihai Crengani?, Radu-Eugen Breaz, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Cristina-Maria Biri?, Adrian Maro?an and Alexandru Bârsan
This scientific paper presents the development and validation process of a dynamic model in Simulink used for decision-making regarding the locomotion and driving type of autonomous omnidirectional mobile platforms. Unlike traditional approaches relying ...
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Seemal Asif and Philip Webb
In large scale, complex and low volume manufacturing systems, robotics are now considered unavoidable for automating the factory operations. The aerospace industry focuses on a high variety and quality but extremely low volume. The precision it requires ...
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Awais Salman Qazi, Muhammad Shoaib Farooq, Furqan Rustam, Mónica Gracia Villar, Carmen Lili Rodríguez and Imran Ashraf
Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recog...
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Muhammed Enes Atik, Zaide Duran and Dursun Zafer Seker
3D scene classification has become an important research field in photogrammetry, remote sensing, computer vision and robotics with the widespread usage of 3D point clouds. Point cloud classification, called semantic labeling, semantic segmentation, or s...
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Quentin Leboutet, Julien Roux, Alexandre Janot, Julio Rogelio Guadarrama-Olvera and Gordon Cheng
This work aims at reviewing, analyzing and comparing a range of state-of-the-art approaches to inertial parameter identification in the context of robotics. We introduce ?BIRDy (Benchmark for Identification of Robot Dynamics)?, an open-source Matlab tool...
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