2022
Authors
Duarte, AJ; Malheiro, B; Silva, MF; Ferreira, PD; Guedes, PB;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
2022
Authors
Silva, MF; Duarte, AJ; Ferreira, PD; Guedes, PB;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
2022
Authors
Chugo, D; Tokhi, MO; Silva, MF; Nakamura, T; Goher, K;
Publication
Lecture Notes in Networks and Systems
Abstract
2022
Authors
Ferreira, J; Moreira, AP; Silva, M; Santos, F;
Publication
2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
Abstract
In recent years, there has been great interest from researchers in legged robots. These robots have unique characteristics and are suitable for complex working environments with uneven terrains and unexpected obstacles. They can work on almost any type of terrain, overcome obstacles like stairs much more efficiently than wheeled or tracked robots, and cause a lower impact on the ground when compared with other locomotion systems. To expand the application of robotics to new complex areas, it is essential to accurately locate the robot and plan safe trajectories regardless of the environment, terrain, or weather conditions. Using a legged locomotion system raises some concerns regarding the 3D localization, mapping, and trajectory planning algorithms. This paper reviews those problems and describes the current approaches to localize a robot, map an environment and plan safe trajectories for quadruped robots.
2022
Authors
Oliveira, F; Tinoco, V; Magalhaes, S; Santos, FN; Silva, MF;
Publication
2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
Abstract
There has been an increase in the variety of harvesting manipulators. However, sometimes the lack of efficiency of these manipulators makes it difficult to compete with harvesting tasks performed by humans. One of the key components of these manipulators is the end-effector, responsible for picking the fruits from the plant. This paper studies different types of end-effectors used by some harvesting manipulators and compares them. The objective is to analyse their advantages and limitations to better understand the requirements to design an end-effector to improve the performance of a custom Selective Compliance Assembly Robot Arm (SCARA) on the harvest of different types of fruits.
2022
Authors
Tinoco, V; Silva, MF; Santos, FN; Valente, A; Rocha, LF; Magalhaes, SA; Santos, LC;
Publication
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
Abstract
Purpose The motivation for robotics research in the agricultural field has sparked in consequence of the increasing world population and decreasing agricultural labor availability. This paper aims to analyze the state of the art of pruning and harvesting manipulators used in agriculture. Design/methodology/approach A research was performed on papers that corresponded to specific keywords. Ten papers were selected based on a set of attributes that made them adequate for review. Findings The pruning manipulators were used in two different scenarios: grapevines and apple trees. These manipulators showed that a light-controlled environment could reduce visual errors and that prismatic joints on the manipulator are advantageous to obtain a higher reach. The harvesting manipulators were used for three types of fruits: strawberries, tomatoes and apples. These manipulators revealed that different kinematic configurations are required for different kinds of end-effectors, as some of these tools only require movement in the horizontal axis and others are required to reach the target with a broad range of orientations. Originality/value This work serves to reduce the gap in the literature regarding agricultural manipulators and will support new developments of novel solutions related to agricultural robotic grasping and manipulation.
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