PAR (principal axis representation) for rotational parts (i.e., solids of revolution) is proposed as an internal representation scheme for constructive solid geometry (CSG). They key idea of PAR is to represent an obj...
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PAR (principal axis representation) for rotational parts (i.e., solids of revolution) is proposed as an internal representation scheme for constructive solid geometry (CSG). They key idea of PAR is to represent an object uniquely by its principal axis and a set of boundary curves. Since PAR is in an evaluated form, geometrical properties of parts can be computed more directly and efficiently from this evaluated representation than from the original CSG tree. The scheme is described, and operations (e.g. union) on PARs are defined. The uniqueness of the scheme is proved. An algorithm that converts a CSG representation into PAR is presented along with examples. The equivalence of PAR to the CSG scheme for rotational parts is proved.
We have taken up the challenge of integrating telemanipulation technology and autonomous system technology. We are seeking methods for integration at a fundamental rather than an ad-hoc level. We believe that success ...
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A decentralized adaptive control scheme is presented for multilink robot arms. The structure of dynamic and force interactions in the robot arm allows local high gain feedback control to stabilize the overall system, ...
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A decentralized adaptive control scheme is presented for multilink robot arms. The structure of dynamic and force interactions in the robot arm allows local high gain feedback control to stabilize the overall system, and cause the arm to track reference trajectories to any accuracy desired. The adaptive law is locally stable with an attractive set that is adjustable a-priori using minimal knowledge of robot parameters. Robot manipulators control using decentralized approach is highly desirable in that it facilitates real-time implementation.
As a result of recent advances in artificial intelligence, human cognitive modelling, autonomous systems and telerobotics, there is an opportunity to broaden our concepts of technology for projecting action at a dista...
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As a result of recent advances in artificial intelligence, human cognitive modelling, autonomous systems and telerobotics, there is an opportunity to broaden our concepts of technology for projecting action at a distance. We draw on these advances to develop a conceptual and architectural framework that enables efficient projection in time and space of intermingled manipulation and cognition tasks. Where AI-based autonomous systems have previously been concerned with human supervisory intervention primarily at a cognitive level, we add methods for rendezvous, capture and rehandoff of embedded manipulation tasks. Where telerobotics has been concerned with the projection of sensory-motor manipulation, we add the projection of cognitive processing. Thus extended, the two technologies mirror one another and merge into one of "tele-autonomous systems". We introduce notions of how the sensory, cognitive and motor functions of tele-autonomous systems can be factored and transferred back and forth between human and machine. We illustrate how the times to complete tele-autonomous tasks can be reduced through time and space constraint relaxations effected through simple controls: We employ the concepts of forward simulation and predictor display, augmented by "time and position clutches", "time ratio controls" and "time brakes", to control the resulting manipulation paths and event transitions. We sketch some generic architectural and human interface implications of these methods. Finally, we describe our environment for exploring these methods and the results of some recent experiments.
A simple controller design approach is introduced which provides linear decoupled joint motion control for a robot manipulator. The main idea is to treat each joint as a simple second order linear system with all the ...
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A simple controller design approach is introduced which provides linear decoupled joint motion control for a robot manipulator. The main idea is to treat each joint as a simple second order linear system with all the nonlinear and coupling effects viewed as disturbance. By employing a simple disturbance estimation/rejection procedure, highly robust independent joint control can be achieved.
This paper addresses the problem of extracting certain types of surfaces for 3-dimensional object recognition in the presence of partial occlusion and noise using range information. We restrict consideration to man ma...
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This paper addresses the problem of extracting certain types of surfaces for 3-dimensional object recognition in the presence of partial occlusion and noise using range information. We restrict consideration to man made industrial parts. In this case, we need only work with a small set of surface shapes such as planes, cylinders, and spheres since such shapes are common in industrial parts and it is only necessary to recognize and locate a sufficient set of surface regions to uniquely distinguish the part being observed from all others that might be present. We describe a way of extracting the parameters of these types of surfaces using normal analysis. The use of surface parameters then allows efficient and robust use of a matching process for object recognition and pose determination even though there are many undefined or occluded surface regions.
A new representation scheme PAR (Principal Axis Representation) for rotational parts is proposed as an internal representation scheme for Constructive Solid Geometry (CSG). The main idea of PAR is to represent uniquel...
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A new representation scheme PAR (Principal Axis Representation) for rotational parts is proposed as an internal representation scheme for Constructive Solid Geometry (CSG). The main idea of PAR is to represent uniquely an object by its principal axis and a set of boundary curves so that geometrical properties of the part can be easily computed. In his paper, the PAR scheme is first described and followed by a proof of its equivalence to the CSG scheme. Also proved is the uniqueness of the PAR scheme. Finally, an algorithm that converts a CGS representation into PAR is briefly discussed along with examples.
This paper proposes a near-optimum control algorithm for a highly nonlinear robot manipulator model via a parameter sensitivity method. The method uses Pontrvagin's maximum principle and the Riccati formulation of...
This paper proposes a near-optimum control algorithm for a highly nonlinear robot manipulator model via a parameter sensitivity method. The method uses Pontrvagin's maximum principle and the Riccati formulation of the linear state regulator problem. The effectiveness of the proposed method is verified by simulation results for a two-link planar robot.
A graphical off-line robot programming system should not only be able to simulate various types of robot movement graphically, it should also be able to use graphics to interact with binary sensors, actuators and etc....
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A graphical off-line robot programming system should not only be able to simulate various types of robot movement graphically, it should also be able to use graphics to interact with binary sensors, actuators and etc., in order to simulate logic-related and other functions of robot languages, such as testing and branching, looping, communication and external event handling graphically. We present a graphical off-line robot programming system which has some of these additional features. In particular, it incorporates a geometrical representation of logical conditions into the geometrical representation of the robot and workspace and it allows conditional statements to be programmed in a geometric setting.
We present a novel approach to solving the trajectory planning problem (TPP) in time-varying environments. The essence of our approach lies in a heuristic but natural decomposition of TPP into two subproblems: (1) pla...
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We present a novel approach to solving the trajectory planning problem (TPP) in time-varying environments. The essence of our approach lies in a heuristic but natural decomposition of TPP into two subproblems: (1) planning a path to avoid collision with static obstacles and (2) planning the velocity along the path to avoid collision with moving obstacles. We call the first subproblem the path planning problem (PPP) and the second the velocity planning problem (VPP). Thus, our decomposition is summarized by the equation TPP right arrow PPP + VPP. The symbol right arrow indicates that the decomposition holds under certain assumptions, e.g., when obstacles are moving independently of (i.e., not tracking) the robot. Furthermore, we pose the VPP in path-time space, where time is explicitly represented as an extra dimension, and reduce it to a graph search in this space. In fact, VPP is transformed to a two-dimensional PPP in path-time space with some additional constraints. Algorithms are then presented to solve the VPP with different optimality criteria: minimum length in path-time space, and minimum time. [ABSTRACT FROM AUTHOR]
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