The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In bridge buildings, concrete is widely used because its materials are considerably low-cost and it has high plasticity. However, some drawbacks exist in this kind of bridges, and crack is the most common ones. In order to avoid the cracks in bridge buildings becoming worse, it is necessary to periodically perform the inspection for it. Thus, a bridge inspection robot system with machine vision is...
To meet the higher requirements of human-machine interface technology, the quadruped robot with human recognition capability is discussed in this paper. We present a marker tracking system which uses laser scanner and pan-tilt to allow a particular user to designate himself as the robot's leader. Optimal motion curve of pan-tilt is planned so as 3D point clouds can be returned by a rotating 2D laser...
Previous tunnel fire disasters have shown that serious damage could be caused. The first goal of tunnel fire safety is to guarantee the life safe of tunnel users. It is therefore important to pay much attention to the evacuation system of tunnels. The main purpose of this paper is to provide the approach and reasonable value of walk speed for evacuation assessment in tunnels with cross connections...
Medical technologies represent a major share of hospital budgets and have been driving up healthcare costs in the United States. Typically, hospitals have limited resources and have to be selective with their purchases. Despite the importance and complexity of investment decisions, most hospitals do not use structured methods or comprehensive data. In response, we developed and field-tested a data-to-decision...
A novel type piezoelectric tracked travelling system with potential application to planetary exploration is proposed. The tracked travelling system includes a piezoelectric transducer and a metal track. When the piezoelectric transducer is excited by two electric signals with a phase difference of π/2, the metal track will be driven by friction forces. Firstly, the design and operating principle of...
In this paper we propose a sequential pattern mining method to analyze multimodal data streams using a quantitative temporal approach. While the existing algorithms can only find sequential orders of temporal events, this paper presents a new temporal data mining method focusing on extracting exact timings and durations of sequential patterns extracted from multiple temporal event streams. We present...
A new laser scan matching method based on clustering is advanced. It takes the advantages of both non-iterative matching method and iterative matching method as well as increases the speed and the precision of matching. A method of map building based on laser scans using the matching method above is presented for mobile robots. The map building method matches two consecutive scans by using the feature...
A kind of recurrent fuzzy cerebellar model articulation controller (RFCMAC) model is presented. The recurrent network is embedded in the RFCMAC by adding feedback connections on the first layer to embed temporal relations in the network. A nonconstant differentiable Gaussian basis function is used to model the hypercube structure and the fuzzy weight. A gradient descent learning algorithm is used...
The research on tracking control system of maneuvering target is a hot issue. 2-DOF robot has kinematic capability of tracking non-maneuvering and maneuvering targets in air, while the servo control of the robot is crucial for the performance of target tracking. Traditional routine, including modeling, simulation and controller design, is a serial process, so the burdensome iterative steps bring about...
The long term success of the robotics industry depends on the growth in non-automotive markets. This paper presents the recent efforts in developing force control enabled technologies for a new set of applications that include assembly, polishing, deburring and milling. For each process, a force control based solution was provided to address the specific problem inherent in that process, and verified...
Practical material removal rate (MRR) control strategies for industrial robot are presented in this paper. Based on a force control platform, both force signal and spindle power information could be used for MRR measurement. Three different control methods, PI control, adaptive control and fuzzy control, are implemented to satisfy various process requirements. Performance and experimental results...
A force-control-based robotic machining system is introduced in this paper. Firstly, the machining process is analyzed. Three key technologies: lead-through teaching, path learning and template-based automatic program generation are described and then a fast programming method is proposed. It is proved practically that it can shorten the programming time from days to minutes in robotic machining programming.
This paper illustrates the reason why revisable data association is needed for the simultaneous localization and mapping (SLAM) of mobile robots, and an incremental SLAM algorithm with backtrack searching data association is presented. Our approach uses a tree model called correspondence tree (CT) to represent the solution space of the data association problem. CT is layered according to time steps...
One of the challenges of SLAM (simultaneous localization and mapping) for autonomous robots is the loop closing problem. In this paper, a decision-theoretic active loop closing approach is presented, which integrates the exploration planning with loop closing. In our approach, the active loop closing process is modeled as a multi-stage decision problem, and a frontier-based auxiliary topological map...
This paper presents the critical issues and methodologies to improve robotic machining performance with industrial robots. A complete solution using active force control is introduced to address various issues arouse during the robotic machining process. Programming complex contour parts without a CAD model is made easy using force control functions such as lead-through and path-learning. The problem...
This paper focuses on the reciprocity between data association and state estimation in the simultaneous localization and mapping (SLAM) problem for mobile robot, and an incremental SLAM algorithm with backtracking data association is presented. Our approach uses a tree model called correspondencetree (CT) to represent the solution space of the data association problem. CT is layered according to...
This paper presents on-pendant assembly parameter optimization with an industrial robot with force control. ABB industrial robot and its latest controller IRC5 is used as the host platform of the development; design of experiment (DOE) method is used as an optimization tool; and automatic transmission torque converter assembly is used as a test case. All tasks such as data manipulation, data analysis,...
To organize the robot controllers in an open manner and manage heterogeneous and concurrent accesses to hardware devices is a tough problem. This paper proposes the control middleware architecture to tackle this problem. In this architecture, the control middleware encapsulates all hardware operations and interacts with logical controllers in a client-server manner. All devices are mapped into data...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.