The objective of this study is to develop a method for mobile robot motion planning in the presence of moving obstacles. The concept of traversability vectors is used to analyze the spatial relationship between the ro...
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The objective of this study is to develop a method for mobile robot motion planning in the presence of moving obstacles. The concept of traversability vectors is used to analyze the spatial relationship between the robot and moving obstacles. Given a predefined path, the occupancy of the path by moving obstacles can be detected and registered on the constraint map. Obstacles on this map represent time constraints on the robot motion along the path. A search algorithm is then developed to coordinate the robot motion. Simulation results for this approach are discussed.< >
An intelligent robotic system for multi-sensor based tracking and interception of moving objects which travel at unknown velocities is presented. The capability for multi-sensor assisted object tracking has been achie...
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ISBN:
(纸本)9780819400383
An intelligent robotic system for multi-sensor based tracking and interception of moving objects which travel at unknown velocities is presented. The capability for multi-sensor assisted object tracking has been achieved through the development of techniques to track in multiple dimensions for both the static and dynamic cases. These methods are realized via the fusion of the best attributes of visual and acoustic sensing into an effective configuration that is ideal for real time tracking purposes. The kinematic information for a moving object is extracted via end effector mounted vision and ultrasonic sensors. A hybrid position/force servo-controlled gripper developed at NCSU has been used for the system implementation. One parallel actuation gripper finger houses a fiber optics based Eye-in-Hand vision sensor, while the other accommodates an ultrasonic range sensor. The primary intent of this work is to develop approaches for performing the tasks of: generalized visual/ultrasonic tracking of known rectangular entities;3-D tracking of arbitrary pseudo-planar objects that can change orientation about the optical axis;and a real time paradigm for the tracking of motion in 3-D with variable orientation about the optical axis. This discussion includes both a description of the underlying principles and the initial experimental results.
The problem of automatically generating the possible 3-D sensor locations for observing a scene is defined, and an approach to its solution is presented. The approach taken assumes that the sensor characteristics are ...
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The problem of automatically generating the possible 3-D sensor locations for observing a scene is defined, and an approach to its solution is presented. The approach taken assumes that the sensor characteristics are well understood and that objects expected in the scene are known and modeled. Then, given a set of constraints, a set of actions is specified directing a robot arm to position itself in such a manner that an attached 3-D sensor located in the robot gripper yields the maximum information content with minimum effort with respect to the constraints. Techniques that yield solutions for placement of a triangulation-type 3-D laser range finder are presented.< >
A robotic system that can visually track and intercept an arbitrary object which is traveling in 2‐D at an unknown velocity on a conveyor is to be presented. An eye‐in‐hand vision system developed by the robotics a...
This paper proposes two simple schemes for adaptive control of robot manipulator, to achieve trajectory tracking. The state feedback controller consists of feedforward from the reference position trajectory, feedback ...
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This paper proposes two simple schemes for adaptive control of robot manipulator, to achieve trajectory tracking. The state feedback controller consists of feedforward from the reference position trajectory, feedback from the actual trajectory, and an auxiliary input. The feedforward/feedback controller is different from the state feedback controller in that it consists of feedforward from the reference position, velocity, and acceleration trajectory based on “inverse” dynamics of robot manipulator. The feedforward and feedback gains and the auxiliary input are adapted using adaptive control theory based on Lyapunov's direct method, and using only the local information of the corresponding joint. The proposed control schemes are computationally fast and do not require a priori knowledge of the parameter of the manipulator or the payload. Simulation results are presented in support of the proposed schemes.
The use of multisensor integration and fusion enables a multisensor-based mobile robot to operate in uncertain or unknown dynamic environments. After first distinguishing between multisensor integration and the more r...
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A flexible robotic system with intelligent sensory capability which can be used in an industrial environment to autonomously perform sophisticated manufacturing tasks that are typically done by manual labor is present...
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Issues concerning the effective integration of multiple sensors into the operation of intelligent systems are presented, and a description of some of the general paradigms and methodologies that address this problem i...
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In this paper, the usefulness of applying the complex as well as ordinary moment features for similar object recognition using a tactile array sensor has been explored. Some complex moment invariants have been derived...
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The authors address the problem of robot multisensor fusion and integration with special emphasis on optimal estimation of fused sensor data. The investigation is based on a Unimation PUMA 560 robot and various extern...
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The authors address the problem of robot multisensor fusion and integration with special emphasis on optimal estimation of fused sensor data. The investigation is based on a Unimation PUMA 560 robot and various external sensors. These include overhead vision, eye-in-hand vision, proximity, tactile array, position, force/torque, crossfire, overload, and slip sensing devices. The efficient fusion of data from different sources will enable the machine to respond promptly in dealing with the real world. Towards this goal, the general paradigm of a sensor data fusion system has been developed, and some simulation results as well as results from the actual implementation of certain concepts of sensor data fusion have been demonstrated.< >
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