After writing programs for a production robot, an operator must manually teach hundreds or thousands of poses. Teaching poses is extremely time consuming and, unfortunately, periodic reteaching is necessary. The need to reteach is commonly due to: wear, repair, slight movements of workpieces, or replacement of the robot and its tools. Our experience has shown that conventional methods of adjust...

Abstract: This paper is aimed in presenting a study on the kinematic modeling of the Tricept based five-axis vertical machine tool. Since the machine comprises 3-DOF parallel structure and 2-DOF serial wrist kinematic modeling also comprises serial and parallel part. As solution of direct and inverse kinematics of 2-DOF serial wrist is well known the study in this paper will focus on the parall...

In many infeasible linear programs it is important to construct it to a feasible problem with a minimum pa-rameters changing corresponding to a given nonnegative vector. This paper defines a new inverse problem, called “inverse feasible problem”. For a given infeasible polyhedron and an n-vector a minimum perturba-tion on the parameters can be applied and then a feasible polyhedron is concluded.

Virtual characters playing virtual musical instruments in a realistic way need to interact in real-time with the simulated sounding environment. Dynamic simulation is a promising approach to finely represent and modulate this interaction. Moreover, capturing human motion provides a database covering a large variety of gestures with different levels of expressivity. We propose in this paper a ne...

This paper gives a global dynamic analysis of a two wheeled riding simulator that we have built and instrumented for the study of drivers behavior. These studies concern drive situations in normal urban scenario as well as dangerous driving situations such as skidding. The justification of the choice of the platform movements for a good feeling is discussed. Different models for inverse kinemat...

We present a new framework for prioritized multi-task motion/force control of fully-actuated robots. This work is established on a careful review and comparison of the state of the art. Some control frameworks are not optimal, that is they do not find the optimal solution for the secondary tasks. Other frameworks are optimal, but they tackle the control problem at kinematic level, hence they ne...

The limited adaptivity of current robots is preventing their widespread application. However, nowadays there are mature techniques available to palliate this deficiency. After briefly surveying the several levels of adaptivity required and the disciplines addressing each of them, the paper concentrates on the contributions of the field of Neural Networks to improve sensorimotor adaptivity. Sinc...