A5081351095- Robot Manipulation and Learning
- Robotics and Sensor-Based Localization
- Advanced Manufacturing and Logistics Optimization
- Flexible and Reconfigurable Manufacturing Systems
- 3D Surveying and Cultural Heritage
- Modular Robots and Swarm Intelligence
- Robotic Path Planning Algorithms
- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Industrial Vision Systems and Defect Detection
- Soft Robotics and Applications
- Augmented Reality Applications
- Scheduling and Optimization Algorithms
- Forest Biomass Utilization and Management
- Iterative Learning Control Systems
- Service-Oriented Architecture and Web Services
- Metallurgy and Material Forming
- Hydraulic and Pneumatic Systems
- Innovations in Concrete and Construction Materials
- Robotic Mechanisms and Dynamics
- Bioenergy crop production and management
- Image and Object Detection Techniques
- Teleoperation and Haptic Systems
- Petri Nets in System Modeling
- BIM and Construction Integration
INESC TEC
2014-2023
Institute for Systems Engineering and Computers
2016-2023
Universidade do Porto
2014-2022
Karlsruhe Institute of Technology
2022
Beihang University
2022
University of Parma
2022
Ferrari (Italy)
2022
Centre for Automation and Robotics
2022
Universidad Politécnica de Madrid
2022
Technical University of Munich
2022
Current market demands require an increasingly agile production environment throughout many manufacturing branches. Traditional automation systems and industrial robots, on the other hand, are often too inflexible to provide economically viable business case for companies with rapidly changing products. The introduction of cognitive abilities into robotic is, therefore, a necessary step toward lean changeover seamless human-robot collaboration.
This paper presents an algorithm capable of generating smooth, feasible paths for any-shape non-holonomic mobile robot, taking into account orientation restrictions, with the aim navigating close to obstacles. Our contribution consists in extension A* a cell decomposition, where besides its position, platform is also considered when searching path. achieved by constructing 16 layers orientations and only visiting neighbor lowest cost. To simplify collision checking, robot's footprint used...
Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun find way into manufacturing settings. However, full potential these robots has not been fully exploited, largely due lack vertical integration with existing IT infrastructures, such as execution system (MES), part a large-scale cyber-physical entity. This paper reports considerations findings from research project STAMINA that is developing cognitive applying it concrete...
Purpose The purpose of this paper is to report a collection developments that enable users program industrial robots using speech, several device interfaces, force control and code generation techniques. Design/methodology/approach reported system explained in detail few practical examples are given demonstrate its usefulness for small medium‐sized enterprises (SMEs), where humans need cooperate achieve common goal (coworker scenario). also explores the user interface software adapted use by...
Manufacturing and production industries are increasingly turning to robots carry out repetitive picking operations in an efficient manner. This paper focuses on tackling the novel challenge of automating bin process for entangled objects, which there is very little research. The chosen case study sets freely curved tubes, prone occlusions entanglement. proposed algorithm builds a representation tubes as ordered list cylinders joints using point cloud acquired by 3D scanner. enables detection...
The sensors that acquire 3D data play an important role in many applications. In addition, they have been used the robotic field for several purposes, instance, enhancing navigation of mobile robots, object detection, scene reconstruction, inspection parts and others. Moreover, a significant amount devices with distinct cost, accuracy features released recent years which increases difficulty comparing each sensor proper manner or choosing most suitable device specific task operation field....
A multi-AGV based logistic system is typically associated with two fundamental problems, critical for its overall performance: the AGV’s route planning collision and deadlock avoidance; task scheduling to determine which vehicle should transport load. Several heuristic functions can be used according application. This paper proposes a time-based algorithm dynamically control fleet of Autonomous Guided Vehicles (AGVs) in an automatic warehouse scenario. Our approach includes routing on A*...
In this paper the authors focus on presenting a new path planning approach for multi-robot transportation system in an industrial case scenario. The proposed method is based A∗ heuristic search cell decomposition scenario, which time component was added — Time Enhanced or simply TEA∗. To access flexibility and efficiency of algorithm, set experiments were performed simulated environment. During trials execution algorithm has shown high capability preventing/dealing with occurrence deadlocks system.
This letter presents a novel architecture for evaluating the success of picking operations that are executed by industrial robots. It is formed cascade machine learning algorithms (kNN and SVM) uses information obtained 6 axis force/torque sensor and, if available, from built-in sensors robotic gripper. Beyond measuring or failure entire operation, this makes it possible to detect in real-time when an object slipping during picking. Therefore, force torque signatures collected movement...
Planning the optimal assembly and disassembly sequence plays a critical role when optimizing production, maintenance recycling of products. For tackling this problem, recursive branch-and-bound algorithm was developed for finding plan. It takes into consideration traveling distance robotic end effector along with cost penalty it needs to be changed. The precedences part decoupling directions are automatically computed in proposed geometric reasoning engine by analyzing spatial relationships...
The optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these chains, efficient tools must be devised with the ability to deal stakeholders dynamic interactions optimize performance as a whole while being stable robust, even in presence uncertainties. This work proposes framework coordinate different planning levels event-based models forest-based chain. In particular, new methodology, resilience flexibility biomass is...