Autonomous robots have been in use to construct maps of unknown areas, offering indispensable help for various emergency situations, including but not limited to hostage rescue and fire accidents. In these situations,...
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3DCLIMBER is a pole climbing robot designed at isr-UC which is able to climb from poles with bents and branches. The first prototype of the robot uses electrical motors as actuators. A research started to study possib...
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ISBN:
(纸本)9812835768
3DCLIMBER is a pole climbing robot designed at isr-UC which is able to climb from poles with bents and branches. The first prototype of the robot uses electrical motors as actuators. A research started to study possibility of using other types of actuators to reduce the weight of the robot and thus increase the efficiency. This paper presents a comparison study between the pneumatic muscles and electrical motors. The 3DCLIMBER robot was used as a case study for this comparison.
In this paper, several multiflux, three-phase induction motors, dual-winding configurations are experimentally analysed. Using a motor with two reconfigurable stator windings sharing the same slots, several dual-windi...
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This paper presents a low cost system for human gait analysis. Two opposite-faced web cameras are used to acquire images of the walking of a person carrying a set of passive marks, where the color is chosen to contras...
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In this paper we propose a hand gesture recognition system that relies on color and depth images, and on a small pose sensor on the human palm. Monocular and stereo vision systems have been used for human pose and ges...
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In this paper we propose a hand gesture recognition system that relies on color and depth images, and on a small pose sensor on the human palm. Monocular and stereo vision systems have been used for human pose and gesture recognition, but with limited scope due to limitations on texture, illumination, etc. New RGB-Depth sensors, that reply on projected light such as the Microsoft Kinect, have overcome many of those limitations. However, the point clouds for hand gestures are still in many cases noisy and partially occluded, and hand gesture recognition is not trivial. Hand gesture recognition is much more complex than full body motion, since we can have the hands in any orientation and can not assume a standing body on a ground plane. In this work we propose to add a tiny pose sensor to the human palm, with a minute accelerometer and magnetometer that combined provide 3D angular pose, to reduce the search space and have a robust and computationally light recognition method. Starting with the full depth image point cloud, segmentation can be performed by taking into account the relative depth and hand orientation, as well as skin color. Identification is then performed by matching 3D voxel occupancy against a gesture template database. Preliminary results are presented for the recognition of Portuguese Sign Language alphabet, showing the validity of the approach.
For robotic tasks involving contact between the robot end effector and the environment, force feedback is frequently used to maintain the required force of interaction. Among the many force control strategies proposed...
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For robotic tasks involving contact between the robot end effector and the environment, force feedback is frequently used to maintain the required force of interaction. Among the many force control strategies proposed in the literature, integral force feedback has been found to be the most desirable algorithm due to its robustness with respect to the measurement time delay and its removal of steady state force error. However, there has not been any serious investigation of the controller performance under large force disturbances. We have experimentally observed that large force disturbances can cause bouncing instability of a nominally stable force control system. Motivated by this observation, we augment the standard integral force controller with three robustness enhancements: integral error scaling, force set-point scheduling, and integral windup saturation. Extensive experimentation on surfaces with different stiffness has shown the dramatic improvement of the modified controller.< >
An active vision system has to enable the implementation of reactive visual processes and of elementary visual behaviors in real time. Therefore the control architecture is extremely important. In this paper we discus...
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An active vision system has to enable the implementation of reactive visual processes and of elementary visual behaviors in real time. Therefore the control architecture is extremely important. In this paper we discuss a number of issues related with the implementation of a real-time control architecture and describe the architecture we are using with our camera heads. Even though in most applications a fully calibrated system is not required, we also describe a methodology for calibrating the camera head, taking advantage of its degrees of freedom. These calibration parameters are used to evaluate the performance of the system. Another important issue of the operation of active vision binocular heads is their integration into more complex robotic systems. We claim that higher levels of autonomy and integration can be obtained by designing the system architecture based on the concept of purposive behavior. At the lower levels we consider vision as a sensor and integrate it in control systems (both feed-forward and servo loops) and several visual processes are implemented in parallel, computing relevant measures for the control process. At higher levels the architecture is modeled as a state transition system. Finally we show how this architecture can be used to implement a pursuit behavior using optical flow. Simultaneously vergence control can also be performed using the same visual processes.
Building 3D body models is an important task for virtual and augmented reality applications in telerehabilitation, education, 3DTV, entertainment and tele-presence. We propose a real-time full 3D reconstruction system...
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ISBN:
(纸本)9789898565020
Building 3D body models is an important task for virtual and augmented reality applications in telerehabilitation, education, 3DTV, entertainment and tele-presence. We propose a real-time full 3D reconstruction system that combines visual features and shape-based alignment using low cost depth sensor and video cameras targeting three-dimensional conferencing applications. With this approach we overcome the classic video based reconstruction problem in low-texture or repeated pattern regions. Alignment between successive frames is computed by jointly optimizing over both appearances and shape matching. Appearance-based alignment is done over 2D SURF features annotated with 3D position. Shape-based alignment is performed using the motion transformation estimation between consecutive annotated 3D point clouds through a linear method. A solution to avoid wrong annotated 3D matched points is proposed. 3D mesh model representation is used to lower the processed data and create a 3D representation that is independent of view-point.
Despite all the progress that has been made in robotics and Artificial Intelligence, traditional approaches seem unsuitable to build truly intelligent robots, exhibiting human-like behaviours. Many authors agree that ...
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Despite all the progress that has been made in robotics and Artificial Intelligence, traditional approaches seem unsuitable to build truly intelligent robots, exhibiting human-like behaviours. Many authors agree that the source of intelligence is, to a great extent, the use of a huge memory, where sequences of events that guide our later behaviour are stored. Inspired by that idea, our approach is to navigate a robot using sequences of images stored in a Sparse Distributed Memory-a kind of associative memory based on the properties of high dimensional binary spaces, which, in theory, exhibits some human-like behaviours. The robot showed good ability to correctly follow most of the sequences learnt, with small errors and good immunity to the kidnapped robot problem.
The positive impact of the complementarity between renewable generation sources has been presented in several studies, but this concept has been neglected in many studies of expansion planning. This paper presents a n...
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