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A constraint-based programming approach for robotic assembly skills implementation

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2019年 59卷 69-81页

作者： Polverini, Matteo Parigi Zanchettin, Andrea Maria Rocco, Paolo Politecn Milan Dipartimento Elettron Informaz & Bioingn Piazza Leonardo Da Vinci 32 I-20133 Milan Italy Ist Italian Tecnol Adv Robot Dept ADVR Via Morego 30 I-16163 Genoa Italy

The features of modem collaborative robots, mainly their kinematic redundancy combined with the light-weight structure, can be fully exploited in parts assembly. Traditional robot-level paradigm to robot programming, that requires to explicitly specify the motion of the robot and allows to use contact forces for motion supervision only, cannot be easily applied to complex interaction tasks, such as robotic assembly. Instead, by shifting paradigm to skill-based programming, it is possible to specify force control actions at task level and inherently provide compliant capabilities, without the need to specify the motions of the robot. To this end, this paper presents a constraint-based programming framework for the implementation of assembly skills for light-weight redundant robots, enabling a reactive generation of motion trajectories based on force control requirements. The effectiveness of the proposed approach is experimentally validated on a bimanual assembly use case performed with the ABB YuMi dual-arm robot, requiring a peg-in-hole insertion and a cap-rotation task. Estimation of the interaction force/torque additionally enables the execution of the assembly operation without the need for exteroceptive sensors.

关键词： Robotic assembly Collaborative robots Task-level programming constraint-based programming

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Specification and Control of Human-Robot Handovers Using constraint-based programming 1

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14th International Workshop on Human-Friendly Robotics (HFR)

作者： Vochten, Maxim Vanroye, Lander Lambeau, Jeroen Meylemans, Ken Decre, Wilm De Schutter, Joris Katholieke Univ Leuven Dept Mech Engn B-3001 Leuven Belgium Flanders Make Core Lab ROB B-3001 Leuven Belgium

ISBN: (数字)9783030963590

ISBN: (纸本)9783030963590;9783030963583

This paper introduces a constraint-based specification of an object handover in order to simplify the implementation of reactive handover controllers. A number of desired robot behaviors are identified in different phases of the handover and specified as constraints. The degrees-of-freedom in the reaching motion towards the tracked object, such as rotational symmetry in the object, are easily expressed with constraints and used by the controller. During the physical transfer, a desired force interaction and compliance can be specified. Deviations from the nominal behavior are also dealt with, such as breaking of the handover intent, a moving object and disturbance forces. The controller is validated on a real robot setup showcasing a bidirectional handover. Thanks to the modular approach of combining constraints the developed task specification can be easily extended with more reactive behaviors in the future.

关键词： Human-robot handover constraint-based programming Reactive control Object handover Task specification

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Realtime collaborating with an industrial manipulator using a constraint-based programming approach 51

Realtime collaborating with an industrial manipulator using ...

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51st CIRP Conference on Manufacturing Systems (CIRP CMS)

作者： Wang, Yuquan Liu, Hongyi Ji, Wei Wang, Lihui KTH Royal Inst Technol Dept Prod Engn SE-10044 Stockholm Sweden

Safety is the first and foremost step on our long journey to a future in which robots are moving out of the cage to collaborate with and assist people in various fields from entertainment to manufacturing. Different from the well-defined structured environment, safe robot control in a workspace with moving objects, e.g. a human, requires us to control the robot motion on the fly. In order to computationally efficiently achieve a feasible solution, we propose a constraint-based programming approach to guarantee the safe human -robot interaction. We use an optimization framework to integrate constraints from two -fold: the robot control constraints that are responsible for a generic robotic task and the online formulated safety constraints that are responsible for safe human-robot interaction. In this way, we preserve the task execution ability of a robot while guarantee the safe human -robot interaction. We validate the proposed approach with a Schunk industrial manipulator. The experimental results confirms the fact that the proposed approach has the potential to enable an industrial manipulator to work with a human coworker side -by-side. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 51st CIRP Conference on Manufacturing Systems.

关键词： human-robot collaboration constraint-based programming reactive control

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Application of a generic constraint-based programming approach to an industrially relevant robot task with geometric uncertainties

Application of a generic constraint-based programming approa...

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International Conference on Computer as a Tool (EUROCON 2007)

作者： Decre, Wilm De Laet, Tinne Rutgeerts, Johan Brayninckx, Herman De Schutter, Joris Katholieke Univ Leuven Dept Mech Engn Leuven Belgium

ISBN: (纸本)9781424408122

This paper shows the application of a generic constraint-based task specification approach for sensor-based robot systems to a laser tracing example. Key properties of the used approach are (i) its ability to specify complex robot tasks by introducing auxiliary task-oriented feature coordinates, defined with respect to user-defined object and feature frames, (ii) its support for both underconstrained and overconstrained robot tasks, and (iii) its ability to integrate sensor measurements in a unified way, using auxiliary uncertainty coordinates, to estimate geometric uncertainties in the robot system or its environment. Simulation and real world experimental results are presented.

关键词： constraint-based programming task specification control estimation geometric uncertainty laser tracing

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A general constraint-based programming framework for multi-robot applications

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2024年 86卷

作者： Fiore, Mario D. Allmendinger, Felix Natale, Ciro Univ Campania Dipartimento Ingn Via Roma 29 I-81031 Aversa Italy KUKA Deutschland GmbH Technol & Innovat Ctr Zugspitzstr 140 D-86165 Augsburg Germany

Classic task programming methods based on the specification of desired Cartesian frames can easily generate overconstrained task specifications, reducing the motion capabilities of the involved robot(s) and increasing the total programming effort. This paper presents a general constraint-based programming framework for the specification of a task as minimum set of constraints and the automatic generation of motion optimization problems. The framework can handle constraints involving both robot joint and Cartesian coordinates, as well as including explicit time dependency. The proposed formalism naturally scales to robotic applications with multiple robots, on which multiple frames might be of interest. Additionally, the paper proposes a theoretical comparison with already existing constraint-based programming methods. Finally, the validity and the effectiveness of the proposed approach is numerically supported by illustrative examples, as well as by case studies mocking real industrial setups.

关键词： constraint-based programming Redundancy resolution Multi-robot applications Motion control

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Realtime collaborating with an industrial manipulator using a constraint-based programming approach

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Procedia CIRP 2018年 72卷 105-110页

作者： Yuquan Wang Hongyi Liu Wei Ji Lihui Wang Department of Production Engineering KTH Royal Institute of Technology Stockholm SE-100 44 Sweden

Safety is the first and foremost step on our long journey to a future in which robots are moving out of the cage to collaborate with and assist people in various fields from entertainment to manufacturing. Different from the well-defined structured environment, safe robot control in a workspace with moving objects, e.g. a human, requires us to control the robot motion on the fly. In order to computationally efficiently achieve a feasible solution, we propose a constraint-based programming approach to guarantee the safe human-robot interaction. We use an optimization framework to integrate constraints from two-fold: the robot control constraints that are responsible for a generic robotic task and the online formulated safety constraints that are responsible for safe human-robot interaction. In this way, we preserve the task execution ability of a robot while guarantee the safe human-robot interaction. We validate the proposed approach with a Schunk industrial manipulator. The experimental results confirms the fact that the proposed approach has the potential to enable an industrial manipulator to work with a human coworker side-by-side.

关键词： human-robot collaboration constraint-based programming reactive control

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A collaborative process planning and scheduling system

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ADVANCES IN ENGINEERING SOFTWARE 1996年第1期25卷 3-8页

作者： Kempenaers, J Pinte, J Detand, J Kruth, JP KATHOLIEKE UNIV LEUVEN DEPT MECH ENGNDIV PMAB-3001 LOUVAINBELGIUM

Traditionally, process planning and scheduling have been rather separate activities within a company. Nowadays, the need for more flexible production and shorter production lead times urges for a close collaboration between these activities as a first step towards simultaneous engineering. This article describes the results of the ESPRIT project COMPLAN, which aims at the implementation of an integrated automatic process planning and scheduling system based on the concept of non-linear process plans. In addition to the use of NLPP for flexible load balancing and reactive rescheduling, a new collaborative approach is presented that is based on production constraints as a means to realize a feedback from scheduling to process planning. A process-planning kernel is described that integrates this concept of production constraints.

关键词： Computer Aided Process Planning (CAPP) non-linear process plans collaborative process planning and scheduling constraint-based programming concurrent engineering

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constraint-based snowplow optimization model for winter maintenance operations

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TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 2024年 179卷

作者： Nguyen, Phuong H. D. Tran, Daniel South Dakota State Univ Dept Construct & Operat Management Brookings SD 57007 USA Univ Kansas Dept Civil Environm & Architectural Engn Lawrence KS 66045 USA

In the annual winter route maintenance, transportation agencies often deploy multiple fleets of trucks for snow control and removal activities over a vast maintenance area which creates an operational problem in determining the optimal maintenance routes and fleet size. The objective of this paper is to develop a snowplow routing optimization model to enhance the efficiency of snow removal route planning. The routing optimization model was developed using vehicle routing problems, constraint-based programming, and geographic information system. The developed model was applied to optimize the snow removal route planning practice of a District in Kansas, United States, as a case study. The result of this study shows that the optimization model can help minimize the fleet size and increase the level of service for treating snow routes within the selected District. The results of this study are expected to assist transportation agencies in optimizing their snow route removal in winter maintenance operations.

关键词： Snow route removal geographic information system (GIS) Vehicle routing problem constraint-based programming Winter maintenance

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constraint-based task specification and estimation for sensor-based robot systems in the presence of geometric uncertainty

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INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH 2007年第5期26卷 433-455页

作者： De Schutter, Joris De Laet, Tinne Rutgeerts, Johan Decre, Wilm Smits, Ruben Aertbelien, Erwin Claes, Kasper Bruyninckx, Herman Katholieke Univ Leuven Dept Mech Engn B-3001 Heverlee Belgium

This paper introduces a systematic constraint-based approach to specify complex tasks of general sensor-based robot systems consisting of rigid links and joints. The approach integrates both instantaneous task specification and estimation of geometric uncertainty in a unified framework. Major components are the use of feature coordinates, defined with respect to object and feature frames, which facilitate the task specification, and the introduction of uncertainty coordinates to model geometric uncertainty. While the focus of the paper is on task specification, an existing velocity-based control scheme is reformulated in terms of these feature and uncertainty coordinates. This control scheme compensates,for the effect of time varying uncertainty coordinates. constraint weighting results in an invariant robot behavior in case of conflicting constraints with heterogeneous units. The approach applies to a large variety of robot systems (mobile robots, multiple robot systems, dynamic human-robot interaction, etc.), various sensor systems, and different robot tasks. Ample simulation and experimental results are presented.

关键词： constraint-based programming task specification estimation geometric uncertainty

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Formal Methods for Hopfield-Like Networks

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ACTA BIOTHEORETICA 2013年第1期61卷 21-39页

作者： Ben Amor, Hedi Corblin, Fabien Fanchon, Eric Elena, Adrien Trilling, Laurent Demongeot, Jacques Glade, Nicolas Univ Grenoble 1 AGIM Lab CNRS Lab Ageing Imaging & ModelingFRE 3405 F-38700 La Tronche France Univ Grenoble 1 TIMC IMAG Lab CNRSUMR 5525 Lab Tech Biomed Engn & Complex Management Informa F-38700 La Tronche France

Building a meaningful model of biological regulatory network is usually done by specifying the components (e.g. the genes) and their interactions, by guessing the values of parameters, by comparing the predicted behaviors to the observed ones, and by modifying in a trial-error process both architecture and parameters in order to reach an optimal fitness. We propose here a different approach to construct and analyze biological models avoiding the trial-error part, where structure and dynamics are represented as formal constraints. We apply the method to Hopfield-like networks, a formalism often used in both neural and regulatory networks modeling. The aim is to characterize automatically the set of all models consistent with all the available knowledge (about structure and behavior). The available knowledge is formalized into formal constraints. The latter are compiled into Boolean formula in conjunctive normal form and then submitted to a Boolean satisfiability solver. This approach allows to formulate a wide range of queries, expressed in a high level language, and possibly integrating formalized intuitions. In order to explore its potential, we use it to find cycles for 3-nodes networks and to determine the flower morphogenesis regulatory network of Arabidopsis thaliana. Applications of this technique are numerous and concern the building of models from data as well as the design of biological networks possessing specified behaviors.

关键词： Regulatory networks Hopfield-like networks Biological model building constraint-based programming Arabidopsis thaliana

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