![]() ; ; et al Scientific Conference (2017, September 21) The goal of the work presented in this paper is to facilitate the cooperation between human opera- tors and aerial robots to perform surface inspec- tion missions. Our approach is based on a model of ... [more ▼] The goal of the work presented in this paper is to facilitate the cooperation between human opera- tors and aerial robots to perform surface inspec- tion missions. Our approach is based on a model of human collaborative control with a mixed ini- tiative interaction. In the paper, we present our human-robot cooperation model based on the combination of a supervisory mode and an as- sistance mode with a set of interaction patterns. We developed a software system implementing this interaction model and carried out several real flight experiments that proved that this ap- proach can be used in aerial robotics for sur- face inspection missions (e.g., in vision based indoor missions). Compared to a conventional tele-operated inspection system, the solution pre- sented in this paper gives more autonomy to the aerial systems, reducing the cognitive load of the operator during the mission development. [less ▲] Detailed reference viewed: 66 (6 UL)![]() Sanchez Lopez, Jose Luis ![]() in IFAC-PapersOnLine (2017, July), 50(1), 16003-16008 Detailed reference viewed: 35 (0 UL)![]() ; Bavle, Hriday ![]() in 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (2017, June) Detailed reference viewed: 66 (1 UL)![]() Bavle, Hriday ![]() ![]() in 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (2017, June) Detailed reference viewed: 60 (4 UL)![]() Sanchez Lopez, Jose Luis ![]() in 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (2017, June) Detailed reference viewed: 49 (3 UL)![]() Sanchez Lopez, Jose Luis ![]() Doctoral thesis (2017) Detailed reference viewed: 48 (3 UL)![]() Sanchez Lopez, Jose Luis ![]() in Journal of Intelligent and Robotic Systems (2016), 84(1-4), 779-797 During the process of design and development of an autonomous Multi-UAV System, two main problems appear. The first one is the difficulty of designing all the modules and behaviors of the aerial multi ... [more ▼] During the process of design and development of an autonomous Multi-UAV System, two main problems appear. The first one is the difficulty of designing all the modules and behaviors of the aerial multi-robot system. The second one is the difficulty of having an autonomous prototype of the system for the developers that allows to test the performance of each module even in an early stage of the project. These two problems motivate this paper. A multipurpose system architecture for autonomous multi-UAV platforms is presented. This versatile system architecture can be used by the system designers as a template when developing their own systems. The proposed system architecture is general enough to be used in a wide range of applications, as demonstrated in the paper. This system architecture aims to be a reference for all designers. Additionally, to allow for the fast prototyping of autonomous multi-aerial systems, an Open Source framework based on the previously defined system architecture is introduced. It allows developers to have a flight proven multi-aerial system ready to use, so that they can test their algorithms even in an early stage of the project. The implementation of this framework, introduced in the paper with the name of ``CVG Quadrotor Swarm'', which has also the advantages of being modular and compatible with different aerial platforms, can be found at \url{https://github.com/Vision4UAV/cvg_quadrotor_swarm} with a consistent catalog of available modules. The good performance of this framework is demonstrated in the paper by choosing a basic instance of it and carrying out simulation and experimental tests whose results are summarized and discussed in this paper. [less ▲] Detailed reference viewed: 73 (1 UL)![]() ; Sanchez Lopez, Jose Luis ![]() in Journal of Intelligent and Robotic Systems (2016), 84(1-4), 601--620 This paper presents a completely autonomous solution to participate in the 2013 International Micro Air Vehicle Indoor Flight Competition ({IMAV2013}). Our proposal is a modular multi-robot swarm ... [more ▼] This paper presents a completely autonomous solution to participate in the 2013 International Micro Air Vehicle Indoor Flight Competition ({IMAV2013}). Our proposal is a modular multi-robot swarm architecture, based on the Robot Operating System (ROS) software framework, where the only information shared among swarm agents is each robot's position. Each swarm agent consists of an {AR Drone 2.0} quadrotor connected to a laptop which runs the software architecture. In order to present a completely visual-based solution the localization problem is simplified by the usage of ArUco visual markers. These visual markers are used to sense and map obstacles and to improve the pose estimation based on the IMU and optical data flow by means of an Extended Kalman Filter localization and mapping method. The presented solution and the performance of the CVG\_UPM team were awarded with the First Prize in the Indoors Autonomy Challenge of the {IMAV2013} competition. [less ▲] Detailed reference viewed: 44 (3 UL)![]() ; ; Sanchez Lopez, Jose Luis ![]() in Robot 2015: Second Iberian Robotics Conference (2016, November) Detailed reference viewed: 50 (3 UL)![]() ; ; et al Scientific Conference (2016, October) Detailed reference viewed: 26 (0 UL)![]() ; ; et al in Dyna (2016), 91(5), 571--577 Detailed reference viewed: 47 (0 UL)![]() Sanchez Lopez, Jose Luis ![]() in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016, June) Detailed reference viewed: 45 (3 UL)![]() ; Sanchez Lopez, Jose Luis ![]() in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016, June) Detailed reference viewed: 64 (1 UL)![]() ; ; Sanchez Lopez, Jose Luis ![]() in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016, June) Detailed reference viewed: 33 (1 UL)![]() ; ; et al in Dyna (2016), 91(3), 282--288 Detailed reference viewed: 39 (2 UL)![]() Olivares Mendez, Miguel Angel ![]() ![]() in Sensors (2016), 16(3), 362 Autonomous route following with road vehicles has gained popularity in the last few decades. In order to provide highly automated driver assistance systems, different types and combinations of sensors ... [more ▼] Autonomous route following with road vehicles has gained popularity in the last few decades. In order to provide highly automated driver assistance systems, different types and combinations of sensors have been presented in the literature. However, most of these approaches apply quite sophisticated and expensive sensors, and hence, the development of a cost-efficient solution still remains a challenging problem. This work proposes the use of a single monocular camera sensor for an automatic steering control, speed assistance for the driver and localization of the vehicle on a road. Herein, we assume that the vehicle is mainly traveling along a predefined path, such as in public transport. A computer vision approach is presented to detect a line painted on the road, which defines the path to follow. Visual markers with a special design painted on the road provide information to localize the vehicle and to assist in its speed control. Furthermore, a vision-based control system, which keeps the vehicle on the predefined path under inner-city speed constraints, is also presented. Real driving tests with a commercial car on a closed circuit finally prove the applicability of the derived approach. In these tests, the car reached a maximum speed of 48 km/h and successfully traveled a distance of 7 km without the intervention of a human driver and any interruption. [less ▲] Detailed reference viewed: 479 (37 UL)![]() Sanchez Lopez, Jose Luis ![]() in Robot 2015: Second Iberian Robotics Conference (2015, November) Detailed reference viewed: 42 (2 UL)![]() ; ; Sanchez Lopez, Jose Luis ![]() in Sensors (2015), 15(11), 29569--29593 Lateral flow assay tests are nowadays becoming powerful, low-cost diagnostic tools. Obtaining a result is usually subject to visual interpretation of colored areas on the test by a human operator ... [more ▼] Lateral flow assay tests are nowadays becoming powerful, low-cost diagnostic tools. Obtaining a result is usually subject to visual interpretation of colored areas on the test by a human operator, introducing subjectivity and the possibility of errors in the extraction of the results. While automated test readers providing a result-consistent solution are widely available, they usually lack portability. In this paper, we present a smartphone-based automated reader for drug-of-abuse lateral flow assay tests, consisting of an inexpensive light box and a smartphone device. Test images captured with the smartphone camera are processed in the device using computer vision and machine learning techniques to perform automatic extraction of the results. A deep validation of the system has been carried out showing the high accuracy of the system. The proposed approach, applicable to any line-based or color-based lateral flow test in the market, effectively reduces the manufacturing costs of the reader and makes it portable and massively available while providing accurate, reliable results. [less ▲] Detailed reference viewed: 63 (0 UL)![]() Sanchez Lopez, Jose Luis ![]() in 2015 International Conference on Unmanned Aircraft Systems (ICUAS) (2015, June) The International Aerial Robotics Competition (IARC) aims at pulling forward the state of the art in UAV. The Mission's 7 challenge deals mainly with GPS/Laser denied navigation, Robot-Robot interaction ... [more ▼] The International Aerial Robotics Competition (IARC) aims at pulling forward the state of the art in UAV. The Mission's 7 challenge deals mainly with GPS/Laser denied navigation, Robot-Robot interaction and obstacle avoidance in the setting of a ground robot herding problem. We present in this paper our UAV which took part in the 2014 competition, in the China venue. This year, the mission was not completed by any participant but our team at Technical University of Madrid (UPM) were awarded with two special prizes: Best Target Detection and Best System Control. The platform, hardware and the developed software used in this top leading competition are presented in this paper. This software has three main components: the visual localization and mapping algorithm; the control algorithms; and the mission planner. A statement of the safety measures integrated in the drone and of our efforts to ensure field testing in conditions as close as possible to the challenger's are also included. [less ▲] Detailed reference viewed: 39 (2 UL)![]() ; Sanchez Lopez, Jose Luis ![]() Scientific Conference (2014, August) Detailed reference viewed: 39 (0 UL) |
||