This paper deals with the robot handling of deformable linear objects (DLO), such as hoses, wires or leaf springs, based on contact state transitions and force/moment sensing. First, we describe the characteristic cha...
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This paper deals with the robot handling of deformable linear objects (DLO), such as hoses, wires or leaf springs, based on contact state transitions and force/moment sensing. First, we describe the characteristic change of force and moment for all single-contact transitions which may occur between the DLO and a rigid polyhedron obstacle. Second, we discuss the sensor data processing for the automated detection of the state transitions.
The task of handling non-rigid one-dimensional objects by a robot manipulation system is investigated. To distinguish between different non-rigid object behaviors, five classes of deformable objects from a robotic poi...
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The task of handling non-rigid one-dimensional objects by a robot manipulation system is investigated. To distinguish between different non-rigid object behaviors, five classes of deformable objects from a robotic point of view are proposed. Additionally, an enumeration of all possible contact states of one-dimensional objects with polyhedral obstacles is provided. Finally, the qualitative motion behavior of linear objects is analyzed for stable point contacts. Experiments with different materials validate the analytical results.
The paper is based on a path planning approach for industrial robot arms with 6 degrees of freedom in an online given 3D environment. It has online capabilities by searching in an implicit and discrete configuration s...
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The paper is based on a path planning approach for industrial robot arms with 6 degrees of freedom in an online given 3D environment. It has online capabilities by searching in an implicit and discrete configuration space and detecting collisions in the Cartesian workspace by distance computation based on the given CAD model. Here, we present different methods for specifying the C-space discretization. Besides the usual uniform and heuristic discretization, we investigate two versions of an optimal discretization for a user-predefined Cartesian resolution. The different methods are experimentally evaluated. Additionally, we provide a set of 3-dimensional benchmark problems for a fair comparison of the path planner. For each benchmark, the run-times of our planner are between only 3 and 100 seconds on a Pentium PC with 133 MHz.
Presents an approach to parallel path planning for industrial robot arms with six degrees of freedom in an online given 3D environment. The method is based a best-first search algorithm and needs no essential off-line...
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Presents an approach to parallel path planning for industrial robot arms with six degrees of freedom in an online given 3D environment. The method is based a best-first search algorithm and needs no essential off-line computations. The algorithm works in an implicitly discrete configuration space. Collisions are detected in the Cartesian workspace by hierarchical distance computation based on polyhedral models of the robot and the obstacles. By decomposing the 6D configuration space into hypercubes and cyclically mapping them onto multiple processing units, a good load distribution can be achieved. We have implemented the parallel path planner on a workstation cluster with 9 PCs and tested the planner for several benchmark environments. With optimal discretisation, the new approach usually shows very good speedups. In online provided environments with static obstacles, the parallel planning times are only a few seconds.
In this paper, the problem of path planning for robot manipulators with six degrees of freedom in an on-line provided three-dimensional environment is investigated. As a basic approach, the best-first algorithm is use...
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In this paper, the problem of path planning for robot manipulators with six degrees of freedom in an on-line provided three-dimensional environment is investigated. As a basic approach, the best-first algorithm is used to search in the implicit discrete configuration space. Collisions are detected in the Cartesian workspace by hierarchical distance computation based on the given CAD model. The basic approach is extended by three simple mechanisms and results in a heuristic hierarchical search. This is done by adjusting the stepsize of the search to the distance between the robot and the obstacles. As a first step, we show encouraging experimental results with two degrees of freedom for five typical benchmark problems.
There are several driving concepts for mobile robots. The most propagated ones are differential and synchro drives. Both of them have their specific advantages and disadvantages. The new concept described in this pape...
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There are several driving concepts for mobile robots. The most propagated ones are differential and synchro drives. Both of them have their specific advantages and disadvantages. The new concept described in this paper deals with a new drive which combines the advantages of both systems without keeping the disadvantages. The system offers a nearly omni-directional movability with less effort than other solutions.
Environment mapping is a very complex procedure that requires high CPU performance. For the last few years, laser scanners have become more and more important for mobile robots. Using their data requires many transfor...
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Environment mapping is a very complex procedure that requires high CPU performance. For the last few years, laser scanners have become more and more important for mobile robots. Using their data requires many transformations between different coordinate systems. This new approach deals with a mapping within the coordinate system of the scanner, therefore it is very fast. The log-Hough transformation performs line finding in scans in a very efficient way, which speeds up mapping.
A practical distributed planning and control system for industrial robots is presented. The hierarchical concept consists of three independent levels. Each level is modularly implemented and supplies an application in...
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A practical distributed planning and control system for industrial robots is presented. The hierarchical concept consists of three independent levels. Each level is modularly implemented and supplies an application interface (API) to the next higher level. At the top level, we propose an automatic motion planner. The motion planner is based on a best-first search algorithm and needs no essential off-line computations. At the middle level, we propose a PC-based robot control architecture, which can easily be adapted to any industrial kinematics and application. Based on a client/server principle, the control unit establishes an open user interface for including application specific programs. At the bottom level, we propose a flexible and modular concept for the integration of the distributed motion control units based on the CAN bus. The concept allows an online adaptation of the control parameters according to the robot's configuration. This implies high accuracy for the path execution and improves the overall system performance.
The main advantage of distributed controlled robots and subsystems is the decentralized task execution by the system components. In this way, properties for the design of flexible control architectures like modularity...
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