this paper deals with multi-arms fruits picking in orchards. More specifically, the goal is to controlthe arms to approach the fruits position. To achieve this task a VPC strategy has been designed to take into accou...
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ISBN:
(纸本)9789897583803
this paper deals with multi-arms fruits picking in orchards. More specifically, the goal is to controlthe arms to approach the fruits position. To achieve this task a VPC strategy has been designed to take into account the dynamic of the environment as well as the various constraints inherent to the mechanical system, visual servoing manipulation and shared workspace. Our solution has been evaluated in simulation using on PR2 arms model. Different models of visual features prediction have been tested and the entire VPC strategy has been run on various cases. the obtained results show the interest and the efficiency of this strategy to perform a fruit picking task.
A highly accurate 6 DOF real-time navigation system for minimally-invasive surgical interventions is presented. the system consists of short range acoustic transducers that combine time-of-flight and carrier-phase mea...
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ISBN:
(纸本)9781479951994
A highly accurate 6 DOF real-time navigation system for minimally-invasive surgical interventions is presented. the system consists of short range acoustic transducers that combine time-of-flight and carrier-phase measurements and a standard inertial measurement unit. With Hybrid Extended Kalman Filtering, a precise pose estimation of the surgical instrument is achieved. In this contribution, simulation results focussing on different noise variances, which are experimentally obtained from a prototype setup, and initial errors are presented. In addition to previous work, the main advance lies in the estimate of the orientation of the laparoscopic instrument through the use of multiple acoustic transducers.
Autonomous navigation in off-road environments is a challenging task for mobile robots. Recent success in artificial intelligence research demonstrates the suitability and relevance of neural networks and learning app...
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ISBN:
(纸本)9789897583803
Autonomous navigation in off-road environments is a challenging task for mobile robots. Recent success in artificial intelligence research demonstrates the suitability and relevance of neural networks and learning approaches for image classification and off-road robotics. Nonetheless, meaningful decision making processes require semantic knowledge to enable complex scene understanding on a higher abstraction level than pure image data. A promising approach to incooperate semantic knowledge are ontologies. Especially in the off-road domain, scene object correlations heavily influence the navigation outcome and misinterpretations may lead to the loss of the robot, environmental, or even personal damage. In the past, behavior-based control systems have proven to robustly handle such uncertain environments. this paper combines both approaches to achieve a situation-aware navigation in off-road environments. Hereby, the robot's navigation is improved using high-level off-road background knowledge in form of ontologies along with a reactive, and modular behavior network. the feasibility of the approach is demonstrated within different simulation scenarios.
the dynamic window approach to collision avoidance is a well-known method in the mobile robotics field. It provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of...
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this paper presents a summary of several of the various types of percussion mechanisms commonly utilized in the field of musical robotics, with a goal of comparing their effectiveness regarding a number of musical out...
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ISBN:
(纸本)9781479964666
this paper presents a summary of several of the various types of percussion mechanisms commonly utilized in the field of musical robotics, with a goal of comparing their effectiveness regarding a number of musical outcomes. A testing system was set up to compare the devices and analyze a number of relevant attributes of their performance, such as maximum speed and volume, consistency and latency. the advantages and disadvantages of each of the types of mechanisms are discussed, and suggestions are offered about which types of mechanisms are suitable for various musical contexts.
In this paper a biologically inspired approach for compensating the limited angle of vision in obstacle detection systems of mobile robots is presented. Most of the time it is not feasible to exhaustively monitor the ...
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ISBN:
(纸本)9789728865832
In this paper a biologically inspired approach for compensating the limited angle of vision in obstacle detection systems of mobile robots is presented. Most of the time it is not feasible to exhaustively monitor the environment of a mobile robot. In order to nonetheless achieve safe navigation obstacle detection mechanisms need to keep in mind certain aspects of the environment. In mammals this task is carried out by the creature's short-term memory. Inspired by this concept an absolute local map storing obstacles in terms of representatives has been introduced in the obstacle detection and avoidance system of the outdoor robot RAVON. that way the gap between the fields of vision of two laser range finders can be monitored which prevents the vehicle from colliding with obstacles seen some time ago.
Pitch control of an aviation system presents a plethora of control complications, such as nonlinear effects, parameter uncertainties, disturbances, etc. In the face of parametric uncertainties and disturbances, as wel...
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the complexity of today's autonomous systems renders the manual engineering of control strategies or behaviors for all possible system states infeasible. therefore, planning algorithms are required that match the ...
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ISBN:
(纸本)9789897583803
the complexity of today's autonomous systems renders the manual engineering of control strategies or behaviors for all possible system states infeasible. therefore, planning algorithms are required that match the capabilities of the system to the tasks at hand. Solutions to typical problems with robotic systems combine aspects of symbolic action planning with sub-symbolic motion planning and control. the problem complexity of this combination currently prohibits online planning without task specific, manually defined heuristics. To counter that we use a set-theoretic approach to model declarative and procedural knowledge which allows for flexible hierarchies of planning tasks. the coordination of the planning tasks on different levels, the classification of information and various views on data are the core functions of hierarchical planning. We propose suitable graph structures to capture all relevant information and discuss the elements of our hierarchical planning algorithm in this paper. Furthermore, we present two use-cases of an autonomous manufacturing system to highlight the capabilities of our system.
Compliant mechanisms have been used in several robotics applications, including locomotion and grasping. Variable stiffness joints are part of these compliant mechanisms and generally use one passive element per joint...
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ISBN:
(纸本)9798331517519;9798331517526
Compliant mechanisms have been used in several robotics applications, including locomotion and grasping. Variable stiffness joints are part of these compliant mechanisms and generally use one passive element per joint. this paper presents the design, model, and characterization of a Variable Stiffness Multi-joint Mechanism (VSMM) using a single carbon fibre rod as its passive element. the VSMM employs a variable lever mechanism, allowing the modulation of the joints' stiffness. We present an analytical model of the mechanism, providing insights into its mechanical behaviour and enabling the prediction of stiffness variations under different design parameters. through experimental testing, the mechanism demonstrates a stiffness range of 0.19N/ mm to 0.27N/ mm, offering variable compliance that can change to suit specific task requirements.
In this paper the problem of two-player pursuit-evasion games with unmanned aerial vehicles (UAVs) in a three-dimensional environment is solved. A game theoretic framework is presented, which enables the solution of d...
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ISBN:
(纸本)9789897580406
In this paper the problem of two-player pursuit-evasion games with unmanned aerial vehicles (UAVs) in a three-dimensional environment is solved. A game theoretic framework is presented, which enables the solution of dynamic games in discrete time based on dynamic programming. the UAV agents taking part in the pursuitevasion game are two identical quad-rotors withthe same non-linear state space model, while the evaders' absolute velocity is smaller than the pursuers'. the convergence of the pursuit-evasion game is shown in numerical simulations. Finally, the approach is simulated on an embedded computer and tested for real-time applicability. Hence, the implementation and real-time execution on a physical UAV system is feasible.
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