Olivier Kermorgant

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In this paper we address the issue of hybrid 2D/3D visual servoing. Contrary to popular approaches, we consider the position-based visual servo as the core of our scheme. 2D information is only added when necessary, that is when the observed object is about to leave from the field of view, even partially. The injection of 2D information is tuned by only one(More)
This paper presents a multi-task control method to maintain the visibility of an anatomic element of interest while the doctor tele-operates a 2D ultrasound probe held by a medical robot. The prior task consists in automatically maintaining several visual constraints that guarantee an inter-section between the ultrasound image plane and the anatomic object(More)
A low-level sensor fusion scheme is presented for the positioning of a multi-sensor robot. This non-hierarchical framework can be used for robot arms or other velocity-controlled robots, and is part of the task function approach. A stability analysis is presented for the general case, then several control laws illustrate the versatility of the framework.(More)
A framework is presented in this paper for the control of a multisensor robot under several constraints. In this approach, the features coming from several sensors are treated as a single feature vector. The core of our approach is a weighting matrix that balances the contribution of each feature, allowing the taking of constraints into account. The(More)
Joint limits avoidance is a crucial issue in sensor-based control. In this paper we propose an avoidance strategy based on a low-level data fusion. The joint positions of a robot arm are considered as features that are continuously added to the control scheme when they approach the joint limits, and removed when the position is safe. We expose an optimal(More)
In this paper we address the problem of visibility in position-based visual servoing. It is well known that the observed object may leave the field of view in such schemes, as there is usually no control in the image. Recent control schemes try to cope with this issue by defining an image-based constraint such that the object stays in the image. We propose(More)
In this paper we propose a new on-line sensor self-calibration framework. The approach is to consider the sensor/robot interaction that links the sensor signal variations to the robot velocity. By on-line calibration, we mean only the actual measurements are used to perform calibration under the condition that the interaction matrix is analytically known.(More)
Accurately localize a mobile vehicle with an easy and quickly deployable system can be very useful for many applications. Herein we present an EKF-SLAM algorithm which allows using radio frequency (RF) beacons without any prior knowledge of their location. As RF beacons provide only range information, recovering their positions is not an easy task. For this(More)
This paper considers the perpendicular parking problem of car-like vehicles for both forward and reverse maneuvers. A sensor based controller with a weighted control scheme is proposed and is compared with a state of the art path planning approach. The perception problem is threated as well considering a Velodyne VLP-16 as the sensor providing the required(More)