A5020082464- Advanced Chemical Sensor Technologies
- Insect Pheromone Research and Control
- Olfactory and Sensory Function Studies
- Robotics and Sensor-Based Localization
- Social Robot Interaction and HRI
- Context-Aware Activity Recognition Systems
- Gas Sensing Nanomaterials and Sensors
- Odor and Emission Control Technologies
- Advanced Image and Video Retrieval Techniques
- Neurobiology and Insect Physiology Research
- Robotics and Automated Systems
- Air Quality Monitoring and Forecasting
- Technology Use by Older Adults
- Robotic Path Planning Algorithms
- Modular Robots and Swarm Intelligence
- Advanced Vision and Imaging
- Food Supply Chain Traceability
- Experimental Learning in Engineering
- 3D Surveying and Cultural Heritage
- Analytical Chemistry and Sensors
- Innovative Microfluidic and Catalytic Techniques Innovation
- Mass Spectrometry Techniques and Applications
- Video Surveillance and Tracking Methods
- Insect and Arachnid Ecology and Behavior
- Knowledge Societies in the 21st Century
Universidad de Málaga
2015-2024
Centre for Automation and Robotics
2024
Instituto de Investigación Biomédica de Málaga
2017-2022
Universidad Politécnica de Tulancingo
2018
This work presents a simulation framework developed under the widely used Robot Operating System (ROS) to enable validation of robotics systems and gas sensing algorithms realistic environments. The is rooted in principles computational fluid dynamics filament dispersion theory, modeling wind flow 3D real-world scenarios (i.e., accounting for walls, furniture, etc.). Moreover, it integrates different environmental sensors, such as metal oxide photo ionization detectors, or anemometers. We...
One of the major disadvantages use Metal Oxide Semiconductor (MOS) technology as a transducer for electronic gas sensing devices (e-noses) is long recovery period needed after each exposure. This severely restricts its usage in applications where concentrations may change rapidly, mobile robotic olfaction, allowing sensor forces robot to move at very low speed, almost incompatible with any practical operation. paper describes design new e-nose which overcomes, great extent, such limitation....
Metal Oxide Semiconductor (MOX) gas transducers are one of the preferable technologies to build electronic noses because their high sensitivity and low price. In this paper we present an approach overcome a certain extent major disadvantages: slow recovery time (tens seconds), which limits suitability applications where sensor is exposed rapid changes concentration. Our proposal consists exploiting double first-order model MOX-based from steady-state output anticipated in real given...
The integration of Ambient Assisted Living (AAL) frameworks with Socially Assistive Robots (SARs) has proven useful for monitoring and assisting older adults in their own home. However, the difficulties associated long-term deployments real-world complex environments are still highly under-explored. In this work, we first present MoveCare system, an unobtrusive platform that, through a SAR into AAL framework, aimed to monitor, assist provide social, cognitive, physical stimulation houses...
In this paper we present a fast and precise method to estimate the planar motion of lidar from consecutive range scans. For every scanned point formulate flow constraint equation in terms sensor velocity, minimize robust function resulting geometric constraints obtain estimate. Conversely traditional approaches, does not search for correspondences but performs dense scan alignment based on gradients, fashion 3D visual odometry. The minimization problem is solved coarse-to-fine scheme cope...
This paper addresses the localization of a gas emission source within real-world human environment with mobile robot. Our approach is based on an efficient and coherent system that fuses different sensor modalities (i.e., vision chemical sensing) to exploit, for first time, semantic relationships among detected gases objects visually recognized in environment. novel allows robot focus search finite set potential candidates (dynamically updated as operates), while accounting non-negligible...
Gas source localization (GSL) by an olfactory robot is a research field with great potential for applications but also numerous unsolved challenges, particularly when the search must take place in realistic, indoor environments that feature obstacles and turbulent airflows. In this work, we present new probabilistic GSL method terrestrial mobile revolves around propagation of local estimations throughout environment. By exploiting geometry environment as basis propagation, avoid relying on...
In domestic robotics, passing through narrow areas becomes critical for safe and effective robot navigation. Due to factors like sensor noise or miscalibration, even if the free space is sufficient pass through, it may not see enough clearance navigate, hence limiting its operational space. An approach facing this insert waypoints strategically placed within problematic in map, which are considered by planner when generating a trajectory help successfully traverse them. This typically...
Semantic scene understanding allows a robotic agent to reason about problems in complex ways, using information from multiple and varied sensors make deductions particular matter. As result, this form of intelligent robotics is capable performing more tasks achieving precise results than simpler approaches based on single data sources. However, these improved capabilities come at the cost higher complexity, both computational terms design. Due increased design formal for exploiting semantic...
Building a model of gas concentrations has important industrial and environmental applications, mobile robots on their own or in cooperation with stationary sensors play an role this task. Since exact analytical description turbulent flow remains intractable problem, we propose approximate approach which not only estimates the but also variances for each location. Our point view is that sequential Bayesian estimation given lattice 2D cells treated as hidden variables. We first discuss how...
This paper deals with a nonlinear controller based on saturation functions variable parameters for set-point regulation and trajectory tracking control of an Autonomous Underwater Vehicle (AUV). In many cases, constant are used to limit the input signals generated by classical PD (Proportional-Derivative) avoid damaging actuators; however this abrupt bounded harms performance controller. We, therefore, propose replace conventional function, parameters, function controller, which is base...
This paper deals with the design of an electronic device aimed at detection and characterization volatile chemical substances, that is, nose (e-nose). We pursue development a versatile, multipurpose e-nose can be employed for wide variety applications, integrate heterogeneous sensing technologies, offer mechanism to customized different requirements. To end, we contribute fully configurable decentralized architecture based on self-contained intelligent sensor boards (i.e., modules). allows...
This paper presents an experimental study of the suitability a mobile e-nose (carried on bike) for monitoring unpleasant and potentially harmful odors in urban areas, likely coming from residential waste containers. The objective is to obtain spatial temporal representation such by means gas distribution map, which valuable information as location, or time-intervals maximum strength nuisance can be inferred. As case study, results campaign carried out town southern Spain are presented....
In a social and economic context characterized by constantly aging population, the research for new technologies able to assist elderly people is becoming hot topic. this paper we illustrate main components of European project MoveCare, multi-actor framework designed pre-frail elders living alone. The component system an assistance mobile robot that provides user with set functionalities support cognitive stimulation, assistance, transparent monitoring. view long-term deployment autonomous...
Calibration of metal oxide (MOX) gas sensors for continuous monitoring is a complex problem due to the highly dynamic characteristics sensor signal when exposed natural environment in an Open Sampling System (OSS). This work presents probabilistic approach calibration MOX using Gaussian Processes (GP). The proposed estimates every measurement probability distribution corresponding concentration, which enables calculation confidence intervals predicted concentrations. Being able predict...