Electronic cam motion involves velocity tracking control of the master motor and trajectory generation of the slave motor. Special concerns such as the limits of the velocity, acceleration, and jerk are beyond the considerations in the conventional electronic cam motion control. This study proposes the curve-fitting of a Lagrange polynomial to the cam profile, based on trajectory optimization b...

In this paper we introduce trajectory-based labeling, a new variant of dynamic map labeling, where a movement trajectory for the map viewport is given. We define a general labeling model and study the active range maximization problem in this model. The problem isNP-complete andW[1]-hard. In the restricted, yet practically relevant case that no more than k labels can be active at any time, we g...

We present a technique for learning control Lyapunov (potential) functions, which are used in turn to synthesize controllers for nonlinear dynamical systems. The learning framework uses a demonstrator that implements a black-box, untrusted strategy presumed to solve the problem of interest, a learner that poses finitely many queries to the demonstrator to infer a candidate function and a verifi...

Tissue deformation in ultrasound imaging poses a challenge to the development of many image registration techniques, including multimodal image fusion, multi-angle compound image and freehand three-dimensional ultrasound. Although deformation correction methods are desired to provide images of uncompressed tissue structure, they have not been well-studied. A novel trajectory-based method to cor...

This paper describes the design and development of a novel dual manipulator system for table tennis as an application of Human-Robot Interaction (HRI). To hit table tennis quickly, a method to obtain time-constrained trajectory joining two way-points is developed and implemented. Because the quintic polynomial trajectory is a smooth curve and can reduce jerk, it appears to be excellent choice f...

Although many researchers have begun to study the area of Cyber Physical Social Sensing (CPSS), few are focused on robotic sensors. We successfully utilize robots in CPSS, and propose a sensor trajectory planning method in this paper. Trajectory planning is a fundamental problem in mobile robotics. However, traditional methods are not suited for robotic sensors, because of their low efficiency,...

With application to the specific problem of multiple gravity assist trajectory design, a deterministic search space pruning algorithm is developed that displays both polynomial time and space complexity. This is shown empirically to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.

This paper develops novel stochastic models and associated signal processing algorithms for detecting intent in terms of anomalous trajectory patterns in target tracking. Stochastic context-free grammar models are presented for anomalous trajectories using the concept of tracklets. Bayesian signal processing algorithms for each model are also described to solve the related classification and pr...

We present a piecewise-polynomial based associated transform algorithm (PWPAT) for macromodeling nonlinear circuits in system-level circuit design. The generated reduced model can provide both global and local accuracies with the most compact dimension. Numerical examples compare it with existing algorithms and verify its superior accuracy in higher order harmonics simulation over traditional T...

This article presents novel fourthand sixth-order polynomials to solve the problem of jointspace trajectory generation with a via point. These new polynomials use a single function rather than two polynomial functions matched at the via point as in previous methods. The problem of infinite spikes in jerk is also addressed.