- Robotics and Sensor-Based Localization
- Robotic Locomotion and Control
- Robotic Path Planning Algorithms
- Smart Agriculture and AI
- 3D Surveying and Cultural Heritage
- Video Surveillance and Tracking Methods
- Robotics and Automated Systems
- Greenhouse Technology and Climate Control
- Advanced Neural Network Applications
- Remote Sensing and LiDAR Applications
- Anomaly Detection Techniques and Applications
- Modular Robots and Swarm Intelligence
- Hand Gesture Recognition Systems
- Knowledge Societies in the 21st Century
- Social Robot Interaction and HRI
- Adversarial Robustness in Machine Learning
- Mechanics and Biomechanics Studies
- Remote-Sensing Image Classification
- Micro and Nano Robotics
- Space Satellite Systems and Control
- Remote Sensing in Agriculture
- Robot Manipulation and Learning
- Advanced Chemical Sensor Technologies
- Non-Invasive Vital Sign Monitoring
- Soft Robotics and Applications
Centre for Automation and Robotics
2020-2024
Universidad Politécnica de Madrid
2020-2024
Consejo Superior de Investigaciones Científicas
2021-2024
Comunidad de Madrid
2024
The number of tasks that nowadays are accomplished by using unmanned aerial vehicles is rising across many civil applications, including agriculture. Thus, this work aims at providing the reader with an overview agronomical use vehicles. starts a historical analysis aircrafts in agriculture, as pioneers their modern precision agriculture techniques, currently applied high users. This survey has been carried out classification according to typology and main sensorial performance features. An...
To meet the increased demand for organic vegetables and improve their product quality, Sureveg CORE Organic Cofund ERA-Net project focuses on benefits best practices of growing different crops in alternate rows. A prototype a robotic platform was developed to address specific needs this field type at an individual plant level rather than per strip or section. This work describes novel method develop fertilization tasks crop rows, based automatic vegetable Detection Characterization (D.a.C)...
Technological breakthroughs in recent years have led to a revolution fields such as Machine Vision and Search Rescue Robotics (SAR), thanks the application development of new improved neural networks vision models together with modern optical sensors that incorporate thermal cameras, capable capturing data post-disaster environments (PDE) rustic conditions (low luminosity, suspended particles, obstructive materials). Due high risk posed by PDE because potential collapse structures,...
Recent developments in bioinspired technologies combined with the advance of intelligent and soft materials have allowed robots to replicate behavior different animal species. These devices can perform complicated tasks such as reaching or adapting constrained unstructured environments. This article proposes a methodology develop robot called “JellyRobcib” inspired morphology by jellyfish, using shape-memory alloy springs actuators (as bio-muscles). Such move jellyfish both vertically...
Abstract In recent years, exploration tasks in disaster environments, victim localization and primary assistance have been the main focuses of Search Rescue (SAR) Robotics. Developing new technologies Mixed Reality (M-R) legged robotics has taken a big step developing robust field applications Robotics field. This article presents MR-RAS (Mixed-Reality for Robotic Assistance), which aims to assist rescuers protect their integrity when exploring post-disaster areas (against collapse,...
In recent years, legged (quadruped) robots have been subject of technological study and continuous development. These a leading role in applications that require high mobility skills complex terrain, as is the case Search Rescue (SAR). stand out for their ability to adapt different terrains, overcome obstacles move within unstructured environments. Most implementations recently developed are focused on data collecting with sensors, such lidar or cameras. This work seeks integrate 6DoF arm...
Abstract Post-disaster environments resulting from catastrophic events, leave sequels such as victims trapped in debris, which are difficult to detect by rescuers a first inspection. Technological advances electronics and perception have allowed the development of versatile powerful optical sensors capable capturing light spectrums that humans cannot. new deep learning techniques, convolutional neural networks (CNNs), has generation network models autonomously detecting specific image...
Technological advancements have facilitated the development of sophisticated vision systems, integrating optical sensors with artificial and machine learning techniques to create applications in different fields robotics. One such field is Search Rescue (SAR) robotics, which has historically played a significant role assisting brigades following post-disaster events, particularly exploration phases and, crucially, victim identification. The importance employing these systems identification...
Abstract In recent years, legged quadruped robots have proved to be a valuable support humans in dealing with search and rescue operations. These can move great ability complex terrains, unstructured environments or regions many obstacles. This work employs the robot A1 Rescue Tasks UPM Robot (ARTU-R) by Unitree, equipped an RGB-D camera lidar, perform victim searches post-disaster scenarios. Exploration is done not following pre-planned path (as common methods) but prioritising areas most...
Exploring tasks in unknown environments has become a relevant search and rescue robotics approach. Ground robots are better alternative to rescuers for first exploration. However, exploration progress is often limited by uneven terrains that exceed the kinematic capabilities of robots, including those with complex locomotion systems. This work proposes an innovative solution based on collaborative behaviours overcome even terrains. A method employing two designed operate marsupial...
The use of robotic systems in organic farming has taken on a leading role recent years; the Sureveg CORE Organic Cofund ERA-Net project seeks to evaluate benefits strip-cropping produce vegetables. This includes, among other objectives, development tool that facilitates automation fertilisation process, allowing individual treatment (at plant level). In production, slower nutrient release used fertilisers poses additional difficulties, as tardy detection deficiencies can no longer be...
Robots with bio-inspired locomotion systems, such as quadruped robots, have recently attracted significant scientific interest, especially those designed to tackle missions in unstructured terrains, search-and-rescue robotics. On the other hand, artificial intelligence systems allowed for improvement and adaptation of capabilities these robots based on specific imitating natural behavior animals. The main contribution this work is a method adjust adaptive gait patterns overcome terrains...
The presence of sinkholes has been widely studied due to their potential risk infrastructure and the lives inhabitants rescuers in urban disaster areas, which is generally addressed geotechnics geophysics. In recent years, robotics gained importance for inspection assessment areas sinkhole formation, as well environmental exploration post-disaster assistance. From mobile approach, this paper proposes RUDE-AL (Roped UGV DEployment ALgorithm), a methodology deploying Mobile Cable-Driven...
Abstract The development of immersive technologies in recent years has facilitated the control and execution tasks at a high level complexity robotic systems. On other hand, exploration manipulation unknown environments have been one main challenges search rescue (SAR) robotics. Due to uncertainty involved autonomous unstructured environments, these are usually tele-operated initially. This article addresses comparative study between Mixed Reality (MR—Hololens) Virtual (VR—HTC-Vive) methods...
The growing demand for organically produced vegetables requires the adoption of new cropping systems such as strip-cropping. To counteract additional labour mixed entails, automation and robotics play a key role. This research focuses on development proof-of-concept platform that combines optical sensors an actuation system targeted precision fertilization encircles selected plants rather than local field area. Two sensor types are used detection fertilisation need: multispectral camera...
One of the most relevant problems related to Unmanned Aerial Vehicle's (UAV) autonomous navigation for industrial inspection is localization or pose estimation relative significant elements environment. This paper analyzes two different approaches in this regard, focusing on its application unstructured scenarios where objects considerable size are present, such as a truck, wind tower, an airplane, building, etc. The presented methods require previously developed Computer-Aided Design (CAD)...
The development of new sensory and robotic technologies in recent years the increase consumption organic vegetables have allowed generation specific applications around precision agriculture seeking to satisfy market demand. This article analyzes use advantages optical systems for data acquisition processing Robotic Fertilization process. SUREVEG project evaluates benefits growing rows, using different technological tools like sensors, embedded systems, robots, this purpose. A platform has...
The technological advancements in sensory systems and robotics over the past decade have facilitated innovation of centralized for optimizing resource utilization monitoring efficiency inspection applications. This paper presents a novel system designed gas concentration sensing environments by implementing modular artificial nose (emulating inhalation exhalation process) equipped with strategically air capture centralization based on computational fluid dynamics analysis (CFD). incorporates...
Exploration of sinkholes is especially relevant due to its potential risk for search and rescue personnel in post-disaster areas. This topic mostly addressed from a geotechnical geophysical point view. Recently, this line has been approached robotics, presenting challenges navigation, where the systems must be robust hazardous environments, versatile, capable navigating complex terrain, have considerable continuous operation time. Given physical characteristics sinkholes, advances field are...
This paper proposes a tracking-guidance people system, developing and deploying vision-based approach for identifying individuals by utilizing distinct light spectrum ranges, specifically Thermal (for tracking purposes) RGB guidance). In both cases, lidar system complements the robot's distance estimation to person, environment mapping, reactive navigation during guidance phases. The has been tested in structured scenarios guiding visitors or first responders through different instances)...
Perception systems are fundamental in outdoor robotics, as their correct functionality is essential for tasks such terrain identification, localization, navigation, and analysis of objects interest. This particularly relevant search rescue (SAR) where one current research focuses on the mobility traversal unstructured terrains (commonly resulting from natural disasters or attacks) using quadruped robots. 3D sensory systems, those based 360-degree LiDAR, tend to create dead zones within a...