A5043276108- Robotic Path Planning Algorithms
- Smart Agriculture and AI
- Robotics and Sensor-Based Localization
- Robotics and Automated Systems
- Leaf Properties and Growth Measurement
- Social Robot Interaction and HRI
- Remote Sensing in Agriculture
- Robot Manipulation and Learning
- Plant and soil sciences
- Indoor and Outdoor Localization Technologies
- Higher Education Teaching and Evaluation
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Dental Radiography and Imaging
- Greenhouse Technology and Climate Control
- E-Learning and Knowledge Management
- 3D Surveying and Cultural Heritage
- Educational Research and Science Teaching
- Date Palm Research Studies
- IoT Networks and Protocols
- Teleoperation and Haptic Systems
- Data Visualization and Analytics
- Information and Cyber Security
- Image and Object Detection Techniques
- Domain Adaptation and Few-Shot Learning
Universidad Rey Juan Carlos
2020-2024
Universidad Complutense de Madrid
2016-2019
Software (Spain)
2016-2017
Machine vision systems are becoming increasingly common onboard agricultural vehicles (autonomous and non-autonomous) for different tasks. This paper provides guidelines selecting machine-vision optimum performance, considering the adverse conditions on these outdoor environments with high variability illumination, irregular terrain or plant growth states, among others. In this regard, three main topics have been conveniently addressed best selection: (a) spectral bands (visible infrared);...
Self-localization is a fundamental capability that mobile robot navigation systems integrate to move from one point another using map. Thus, any enhancement in localization accuracy crucial perform delicate dexterity tasks. This paper describes new algorithm maintains several populations of particles the Monte Carlo Localization (MCL) algorithm, always choosing best as system's output. As novelties, our work includes multi-scale map-matching create MCL and metric determine most reliable. It...
Social Robots need to be safe and reliable share their space with humans. This paper reports on the first results of a research project that aims create more reliable, intelligent autonomous robots by investigating implications interactions between cybersecurity safety. We propose creating robotic intrusion prevention system (RIPS) follows novel approach detect mitigate intrusions in cognitive social robot systems other cyber-physical systems. The RIPS detects threats at communication level...
Abstract The operational environments in which a mobile robot executes its missions often exhibit nonflat terrain characteristics, encompassing outdoor and indoor settings featuring ramps slopes. In such scenarios, the conventional methodologies employed for localization encounter novel challenges limitations. This study delineates framework incorporating ground elevation incline considerations, deviating from traditional two‐dimensional paradigms that may falter contexts. our proposed...
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In this work, a new concentric circles detection method for object is proposed. It has been applied to the images of commercial radar, captured with Charge-Coupled Device (CCD) camera. The processing includes centres and in identification radar scale. Several methods found literature have compared our novel proposal multiple detection, called “Propagation Method based on Circular Regression”. This methodology validated real images, proving its efficiency obtaining distance any marine vessel,...
The perception and identification of visual stimuli from the environment is a fundamental capacity autonomous mobile robots. Current deep learning techniques make it possible to identify segment objects interest in an image. This paper presents novel algorithm object’s space segmentation image taken by 3D camera. proposed approach solves boundary pixel problem that appears when direct mapping segmented pixels their correspondence point cloud used. We validate our comparing baseline...
Abstract Facing human activity-aware navigation with a cognitive architecture raises several difficulties integrating the components and orchestrating behaviors skills to perform social tasks. In real-world scenario, system should not only consider individuals like obstacles. It is necessary offer particular dynamic people representation enhance HRI experience. The robot’s must be modified by humans, directly or indirectly. this paper, we integrate our framework in allow that who interact...
Motion Capture systems are crucial in many fields, and Mobile Robotics is one of them. This paper describes an Open Source robotic framework to standardize the use motion capture called MOCAP4ROS2. features a layered architecture that allows building applications regardless specific system model/vendor. The challenges technical social: on hand, resolving synchronization representation issues; other involving community reach consensus necessary interfaces. MOCAP4ROS2 has been implemented ROS2...
Many of the tasks that a service robot can perform at home involve navigation skills. In real world scenario, system should consider individuals beyond just objects, theses days it is necessary to offer particular and dynamic representation in scenario order enhance HRI experience. this paper, we use proxemic theory do representation. The zones are not static. culture or context influences them and, if have influence into account, increase humans' comfort. Moreover, there collaborative which...
Self-localization is a fundamental capability that mobile robot navigation systems integrate to move from one point another using map. Thus, any enhancement in localization accuracy crucial perform delicate dexterity tasks. This paper describes new location maintains several populations of particles the Monte Carlo Localization (MCL) algorithm, always choosing best as sytems's output. As novelties, our work includes multi-scale match matching algorithm create MCL and metric determine most...