This paper uses (linearized) Kalman filters to estimate first-order geometric parameters (i.e., orientation of contact normals and location of contact points) that occur in force-controlled compliant motions. The time variance of these parameters is also estimated. In addition, transitions between contact situations can be monitored. The contact between the manipulated object and its environment is general, i.e., multiple contacts can occur at the same time, and both the topology and the geometry of each single contact are arbitrary. The two major theoretical contributions are 1) the integration of the general contact model, developed previously by the authors, into a state-space form suitable for recursive processing; and 2) the use of the...
This paper describes the modelling and motion specification of compliant motion tasks with two or th...
This paper describes the construction of a 3-D model from the identification of geometrical paramete...
This paper proposes a multiple model approach for detection and estimation of contact transitions in...
This paper uses (linearized) Kalman filters to estimate first-order geometric parameters (i.e., orie...
This paper presents new experimental results for the estimation of large position and orientation in...
This work concerns both monitoring of contact transitions and estimation of the unknown first-order ...
This paper describes the contact formation modeling for the identification of geometrical parameters...
This paper proposes a method to learn from human demonstration compliant contact motions, which take...
This paper presents theoretical and experimental results for the estimation of large position and or...
This paper addresses the problem of identifying the uncertainties present in a robotic contact situa...
This paper presents a contribution to programming by human demonstration [3], [14], in the context o...
This thesis is about force controlled compliant robot motion, with the emphasis on: 1) modelling of...
In this paper, we discuss the modeling of the kinematics and dynamics of compliant contact between b...
Within a multibody dynamics algorithm, the occurrence of contact events is checked at each time inte...
Robots are increasingly used to perform complex tasks, which often involve interaction and contact w...
This paper describes the modelling and motion specification of compliant motion tasks with two or th...
This paper describes the construction of a 3-D model from the identification of geometrical paramete...
This paper proposes a multiple model approach for detection and estimation of contact transitions in...
This paper uses (linearized) Kalman filters to estimate first-order geometric parameters (i.e., orie...
This paper presents new experimental results for the estimation of large position and orientation in...
This work concerns both monitoring of contact transitions and estimation of the unknown first-order ...
This paper describes the contact formation modeling for the identification of geometrical parameters...
This paper proposes a method to learn from human demonstration compliant contact motions, which take...
This paper presents theoretical and experimental results for the estimation of large position and or...
This paper addresses the problem of identifying the uncertainties present in a robotic contact situa...
This paper presents a contribution to programming by human demonstration [3], [14], in the context o...
This thesis is about force controlled compliant robot motion, with the emphasis on: 1) modelling of...
In this paper, we discuss the modeling of the kinematics and dynamics of compliant contact between b...
Within a multibody dynamics algorithm, the occurrence of contact events is checked at each time inte...
Robots are increasingly used to perform complex tasks, which often involve interaction and contact w...
This paper describes the modelling and motion specification of compliant motion tasks with two or th...
This paper describes the construction of a 3-D model from the identification of geometrical paramete...
This paper proposes a multiple model approach for detection and estimation of contact transitions in...