We propose a recurrent neural network architecture with a Forward Kinematics layer and cycle consistency based adversarial training objective for unsupervised motion retargetting. Our network captures high-level properties of an input motion by the forward kinematics layer and adapts them for a target character with different skeleton bone lengths (e.g., shorter, longer arms etc.). Collecting p...

The connection of the tractor to the inactive trailer or motor vehicle causes a motion control problem when turning in the screw, forward or backward movements and high speeds. This is due to the inactive trailer being controlled by the tracking using a physical link that is not affected by the movement. Trailers usually take tracks under these conditions. This phenomenon is called Jack Knife. ...

The forward kinematics problem of general six-degree-of-freedom Stewart platform is addressed in this article. Unlike the convention taking positional variables as independent ones and solving them individually, this article presents an alternative approach which takes the positional variables as multiple-related tasks and exploits the commonality between them using a multi-task Gaussian proces...

A new biometrics recognition, finger-knuckle-print (FKP), has attractive interests of researchers. Based on the results of psychophysics and neurophysiology studies, both local and global information is crucial for the image perception, Therefore we present a novel approach for finger-knuckle-print recognition combining classifiers based on both micro texture in spatial domain provided by local...

We present a mcthod to lcarn diverse group of object categories from an unordcrcd point set. propose our Pyramid Point network, which uses dense pyramid structure instead thc traditional ’U’ shape, typically seen in semantic segmentation networks. This gives second look, allowing network revisit different layers creating various leveis on the for feature propagation. introduce Foc...

This paper presents a simple but efficient way to numerically calculate the inverse displacement problem of calibrated decoupled 6R serial robots. The method is iterative and works with any type of calibrated robot model, such as level-3 models, since it requires no algebraic computation and no resolution of high-order polynomials, only the computation of the forward displacement problem of the...

Kinematics pertains to the motion of bodies in a robotic mechanism without regard to the forces/torques that cause the motion. Since robotic mechanisms are by their very essence designed for motion, kinematics is the most fundamental aspect of robot design, analysis, control, and simulation. The robotics community has focused on efficiently applying different representations of position and ori...

Purpose: Robot researchers need a simulator to understand better the algorithm on path planning, arm movement, and many more. They good simulator. RoboDK is an excellent fulfill research work. It has calibration facilities, so it industrial-grade software. Its forward inverse kinematics accuracy than any competing The main advantage all robots under one IDE. When we use industrial robot, must t...