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Santiago T. Puente - IEEE Xplore Author Profile

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Manipulation tasks in robotics usually involve two phases: an approach to the object and the grasp itself. The first action allows the robot to reach a certain pose in space that is likely to allow the object to be manipulated. Reinforcement Learning (RL) techniques allow a policy to be learned through experience given a set of states and actions, so this is a powerful tool for developing controll...Show More
While Visual Servoing is deeply studied to perform simple maneuvers, the literature does not commonly address complex cases where the target is far out of the camera’s field of view (FOV) during the maneuver. For this reason, in this paper, we present ViKi-HyCo (Visual Servoing and Kinematic Hybrid-Controller). This approach generates the necessary maneuvers for the complex positioning of a non-ho...Show More
The photovoltaic (PV) industry is seeing a significant shift toward large-scale solar plants, where traditional inspection methods have proven to be time-consuming and costly. Currently, the predominant approach to PV inspection using unmanned aerial vehicles (UAVs) is based on the capture and detailed analysis of aerial images (photogrammetry). However, the photogrammetry approach presents limita...Show More
LiDAR sensors are used for mapping tasks, LiDAR odometry or 3D environment reconstruction. Several of them count with a high number of vertical layers, which increase their price and prevents research groups from carrying out experiments and scientific advances. In this paper, we propose a method for augmenting point cloud data by bilinear interpolation in a Spherical Range Image. Our method impro...Show More
The task of grasping objects is a simple and routinely action for humans but it is complex for robots. To integrate robots into everyday tasks, they have to be equipped with capabilities human-like dexterity. In this line, we propose an analytic method, called GeoGraspEvo, to compute grasping points to be used by robotic hands with three, four or more fingers. Our proposal uses features computed f...Show More
This paper presents an approach of a detection and location system for waste recognition in outdoor environments that can be usable on an autonomous robot for garbage collection. It is composed of a camera and a LiDAR. For the detection task, some YOLO models were trained and tested for classification of waste by using a own dataset acquired from the camera. The image coordinates predicted by the ...Show More
We evaluated the electromechanical delay (EMD) for the tibialis anterior (TA) muscle during the performance of time-varying ankle dorsiflexions. Subjects were asked to track a sinusoidal trajectory, for a range of amplitudes and frequencies. Motor unit (MU) action potential trains were identified from surface electromyography (EMG) decomposition and summed to generate the cumulative spike train (C...Show More
This contribution describes the planning and the development of laboratory activities for an introduction to Robotics, as well as some experiences and results obtained from them. The activities have been applied in the course “Introduction to Robotics Engineering”, during the academic year 2015-16. This course is scheduled in the first year of the novel Robotics Engineering Degree offered by the U...Show More
Most works in dexterous manipulation consider Force Closure Grasp (FCG), not only for rigid object but also, for flexible ones, though in the second case a force readjustment is also necessary. However, there are situations in which FCG is nonviable. This paper deals with the situation of a flexible object that must be necessarily grasped from one of its sides, taking advantage of its flexibility....Show More
The disassembly of products for they reuse is an important field of research. One aspect that appears when a product is been disassembled is the uncertainty in the trajectories for the removal of a component from the rest of the product. In order to reduce this lack of information, a multi-sensorial system is proposed. This system uses visual and force-sensor information to avoid the unknown facto...Show More
In this paper, we described our experience in teaching robotics and sensorial systems in computer science degrees at the University of Alicante. The work presented in this paper has been done during the last three academic courses, with about 150 students being registered annually. VISUAL and ROBOLAB tools are jointly used for teaching this subject because they allow students to evaluate their dev...Show More
This paper shows the state of art teleoperation and simulation systems and proposes some possible network architectures devoted to the development of such systems. A method for the optimization of robot tasks is also suggested. The application proposed can teleoperate a robot arm with five degrees of freedom through Internet by using a previous simulation system and visual feedback. This simulatio...Show More