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About

Luís F. Rocha, Ph.D. degree in Electrical and Computer Engineering  in Faculty of Engineering University of Porto and since 2010 researcher at INESC, Centre for Robotics in Industry and Intelligent Systems. His PhD thesis is titled "Object Recognition and Pose Estimation in Flexible Robotic Cells". His main research interests are focused in the flexibility enhancement of industrial robotic cells, as in terms of industrial manipulators programming procedure as on improving their perception skills.

Interest
Topics
Details

Details

038
Publications

2022

An overview of pruning and harvesting manipulators

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.

2022

Bin Picking Approaches Based on Deep Learning Techniques: A State-of-the-Art Survey

Authors
Cordeiro, A; Rocha, LF; Costa, C; Costa, P; Silva, MF;

Publication
2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)

Abstract

2021

Reconfigurable Grasp Planning Pipeline with Grasp Synthesis and Selection Applied to Picking Operations in Aerospace Factories

Authors
de Souza, JPC; Costa, CM; Rocha, LF; Arrais, R; Moreira, AP; Pires, EJS; Boaventura Cunha, J;

Publication
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Abstract

2021

Robotic grasping: from wrench space heuristics to deep learning policies

Authors
de Souza, JPC; Rocha, LF; Oliveira, PM; Moreira, AP; Boaventura Cunha, J;

Publication
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Abstract

2021

A Review of Pruning and Harvesting Manipulators

Authors
Tinoco, V; Silva, MF; Santos, FN; Rocha, LF; Magalhaes, S; Santos, LC;

Publication
2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)

Abstract

Supervised
thesis

2015

The impact of servitization on the performance of manufacturing firms over time: An empirical investigation in the elevator industry

Author
Miguel Leichsenring Franco

Institution
UP-FEUP