A new paradigm of event-based robotic and telerobotic control, referred to here as the reference adaptive impedance control, is presented for partially constrained robotic and telerobotic tasks under uncertain or unkn...
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(纸本)0780341600
A new paradigm of event-based robotic and telerobotic control, referred to here as the reference adaptive impedance control, is presented for partially constrained robotic and telerobotic tasks under uncertain or unknown environmental constraints. The reference adaptive impedance control determines the desired next state adaptively, in such a way as to follow the optimal path from the current state, where the optimal path is generated with the environmental constraints updated through time. The embedded impedance control provides a mechanism for collecting more complete information on the environment. The reference adaptive impedance control also serves as a powerful tool for implementing shared control in teleoperation. A case study of robotic and telerobotic soil trenching is given with simulations.
The emergence and effectiveness of communication interface in a colony of autonomous agents is discussed in this paper. The robotic agents sense the world within which they are embedded, while performing specific task...
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In this paper we outline an intelligent hybrid multi-agent architecture for engineering complex systems. The hybrid multi-agent architecture is described at the task structure level. The architecture has been successf...
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In this paper we outline an intelligent hybrid multi-agent architecture for engineering complex systems. The hybrid multi-agent architecture is described at the task structure level. The architecture has been successfully applied in a real time alarm processing and fault diagnosis system in a power system control centre with good performance results.
One way to find an optimal plan is to enumerate all plans and evaluate a quality metric for each plan. However it is well known that N parts can have up to O(2/sup N/) assembly plans. Reducing N by grouping parts has ...
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One way to find an optimal plan is to enumerate all plans and evaluate a quality metric for each plan. However it is well known that N parts can have up to O(2/sup N/) assembly plans. Reducing N by grouping parts has been proposed earlier but to our knowledge has not been formally defined. In this paper we define two types of groups in terms of part geometry using the nondirectional blocking graph and binary adjacency matrices defined by Wilson and Latombe (1994). We give a polynomial time algorithm for identifying serial and parallel groups. We tested the algorithm on two planar assemblies where it reduced plan time by a factor of 4.
Multi-robot workcells provide efficiency of space, time, and materials in assembly. However this advantage cannot be fully utilized unless an efficient offline/online collision-free trajectory planner is in charge of ...
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Multi-robot workcells provide efficiency of space, time, and materials in assembly. However this advantage cannot be fully utilized unless an efficient offline/online collision-free trajectory planner is in charge of controlling the arms. In this paper a new algorithm which provides the online and real-time generation of dual-arm collision-free trajectories has been established. The algorithm is capable of generating dual-arm collision-free trajectories in real-time despite that the initial configurations of two arms are not synchronized. The key component of the algorithm is the virtual road map (VRM) which gives the best collision-free motion at each given arm configuration.
Neural Networks and Symbolic Knowledge-Based systems each have their strengths and weaknesses. intelligentsystems that fuse these two paradigms overcome a significant number of the weaknesses of each individual parad...
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Neural Networks and Symbolic Knowledge-Based systems each have their strengths and weaknesses. intelligentsystems that fuse these two paradigms overcome a significant number of the weaknesses of each individual paradigm. There are many different approaches in the literature (including research from the author's own group) to fusing these paradigms. A critical evaluation of these approaches is given within the paper.
This paper describes a multiple criteria, statistical technique for mobile robot evaluation. The evaluation method measures the time and energy costs of a particular class of exploratory missions. The method is implem...
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This paper describes a multiple criteria, statistical technique for mobile robot evaluation. The evaluation method measures the time and energy costs of a particular class of exploratory missions. The method is implemented in the special case of one wheeled mobile robot in the laboratory, which was made to execute several (approximately 100) instances of the mission. It is proposed that a validated, dynamic model of the robot embedded in a simulated mission scenario is to be used to study alternate robot designs in a small 'neighborhood' of the existing physical system. Such a simulation was built and is described here. Results from trials with the physical robot and its simulated counterpart are compared and shown to agree well. The simulation is used to evaluate designs not constructed in the laboratory, and results are discussed.
In this paper a method for collision detection and collision avoidance for dual arm robots is proposed. The collision detection, a fast geometric approach based on link intersection, detects the collision and construc...
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In this paper a method for collision detection and collision avoidance for dual arm robots is proposed. The collision detection, a fast geometric approach based on link intersection, detects the collision and constructs the collision region for given trajectories. The time delay planning determines the minimum necessary time delay to avoid collisions using a potential field representation for collision regions. The planning is based on a flexible, massively parallel approach. It effectively avoids any local minima problems due to the potential field representation and can be used regardless of the complexity of the collision region (e.g., concave or complicated regions).
A new paradigm of event-based robotic control, called reference adaptive impedance control, is presented for partially constrained robots under uncertain or unknown environmental constraints. The reference adaptive im...
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A new paradigm of event-based robotic control, called reference adaptive impedance control, is presented for partially constrained robots under uncertain or unknown environmental constraints. The reference adaptive impedance control determines the desired next state adaptively in such a way as to follow the optimal path from the current state, where the optimal path is generated with the environmental constraints updated through time. The embedded impedance control provides a mechanism for collecting more complete information on the environment. An application to obstacle avoidance trajectory planning is given with computer simulations.
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