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A new laser scan matching algorithm is proposed in this paper. By constructing multiplex histograms, the new algorithm offers a simple way for importing geometrical features into the histogram method, obtaining more geometrical information from the laser scan data, and carrying out more accurate matching results. Also, an optimal maximum selection mechanism is employed to filter out the incorrect...
It will be dangerous if hazard gas or inflammable gas arises in room without being noticed for a long time. A robot is a good choice to automatically detect the dangerous gas and send out accurate information and alarm. To obtain exact and plentiful danger information, the robot has to search the gas source. Traditional gas source searching ways is not satisfying. An intelligent robot mounted gas...
A two-layer navigation architecture for autonomous indoor exploration is proposed. As doors in the indoor environments are ubiquitous and informative for navigation, the high-level layer uses a stereo vision based algorithm to detect doors in order to generate a series of goal points. The low-level layer makes the robot avoid obstacles and navigate to the goal points by an improved dynamic window...
Behaviors in human reaching movement suggest that certain visually guided tasks consist of an initial movement without visual feedback, and a fine movement with visual feedback when our hand is near the target. Inspired by this phenomenon, we propose a new setpoint controller that only requires vision feedback when the end effector is near a desired position. The proposed controller consists of a...
This paper is about environment perception for navigation system in real outdoor applications. Unlike other approaches that try to detect an obstacle of binary state, we consider here a Digital Elevation Map (DEM). This map has to be built in regards to the guidance system's needs. These needs depend on the vehicle capabilities, its dynamical constraints, its speed etc... Starting with the navigation...
In this paper, we present a SIFT based Slope K method which is faster and more robust than the classical SIFT in landmark based localization. First, the slope k value can be used to erase mismatched feature points (outliers) of the two compared images. Second, the y position is determined by the slope k value. Therefore, the Slope K method is able to localizes about twice as more accurate as the classical...
Whether the central nervous system of primates uses a body-centered or an eye-centered frame for reaching is still a controversial debate in neurosciences. Does the proprioceptive information allow to represent the visual information with respect to the body or inversely, does it transform the hand position in retinal coordinates? In this paper, we implement and test two control schemes associated...
Four wheeled and four legged flexible personal robot is designed for a personal robot following a person indoors. This robot is expected to serve a various kind of service to a person and peoples with the tri-camera stereo vision system. This paper describes on the vision assisted stride over a step with the hybrid locomotion by wheels and legs.
The advantage of the optical-flow-based visual servo methods is that features of the moving object do not need to be known in advance. Therefore, they can fit for demands of versatile positioning and tracking tasks in the real world. Nevertheless, it is difficult to achieve satisfactory tracking performance for fast moving objects using these standard approaches. The purpose of this paper is to implement...
Traversability analysis is a significant and challenging problem for planetary rover's navigation and safeguard on rocky and bumpy terrain. Moreover, the growing requirement for the micro rover in future planetary missions demands robust traversability analysis upon limited sensors and field of perception. In this paper, a framework for stereo based terrain mapping and traversability analysis in autonomous...
This paper presents a complete 3D-reconstruction method optimized for online object modeling in the context of object grasping by a robot hand. The proposed solution is based on images captured by an eye-in-hand camera mounted on the robot arm and is an original combination of classical but simplified reconstruction methods. The different techniques used form a process that offers fast, progressive...
The selectivity of visual attention mechanism is influenced by bottom-up competition and top-down biasing. This paper presents an object-based visual attention model which simulates top-down influences. Five components of top-down influences are modeled: learning of object representations stored in long-term memory (LTM), deduction of task-relevant feature(s), estimation of top-down biases, mediation...
In this research, we develop an interactive robot system for object manipulation, which uses interactive GUI for supporting robot operation to acquire target object such as book picking from bookshelf. Interactive functions of service robotic system are indispensability because robot has not enough capability in recognition and judgment even using many kinds of sensors. The developed system supports...
Many applications call for robots to perform the tasks that the robot can accurately grasp and assemble many kinds of industrial parts. Using robots to perform these tasks can afford human safety as well as the high productivity. In this paper, an industrial robot system aiming to assemble the industrial parts with high precision is presented. The paper focuses on the design of the robot control system...
This paper presents a method for object shape recognition and the real-time grasping of unknown plane objects only using the positions information of robotic hand fingers. We aim to recover the shape, position and orientation of the grasped object by random five grasping points and the vision system in Cartesian space. A highly intelligent information fusion model which is combined with the expert...
This paper presents a new omni-directional vision based navigation system for mobile robots in substation environments for 24h all-weather inspection. It is featured with near infrared illumination, omni-directional imaging, and artificial landmarks recognition. The extended Kalman filter (EKF) is also used to integrate the measurements from vision and odometer. Experiments have also been carried...
This paper presents a novel sub-pixel edge detection and center localization algorithm to improve the resolution and accuracy for micro-assembly systems. There are three steps to realize the algorithm. First the invariant moment is used to describe the feature of micro-parts and the edge of the micro-parts is extracted at pixel level by using Canny operator. Secondly, the image information of gradient...
The object-based attention theory has shown that perception processes only select relevant objects of the world which are then represented for action. Thus this paper proposes a novel computational method of robotic visual perception based on the object-based attention mechanism. It involves three modules: pre-attentive processing, attentional selection and perception learning. Visual scene is firstly...
The object-based attention theory has shown that perception processes only select one object of interest from the world at a time which is then represented for action. This paper therefore presents an autonomous visual perception model for robots by simulating the object-based bottom-up attention mechanism. Using this model visual perception of robots starts from attentional selection over the scene...
A novel paradigm for the evaluation of human-robot interaction is proposed, with special focus on the importance of natural eye and head movements in nonverbal human-machine communication scenarios. We present an experimental platform that will enable Wizard-of-Oz experiments in which a human experimenter (wizard) teleoperates a robotic head and eyes with his own head and eyes. Since the robot is...
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