The problem of learning-based control for robots has been extensively studied, whereas the
security issue under malicious adversaries has not been paid much attention to. Malicious …

In this work, we present a methodology to compute an artificial time-varying vector field in
dimensions that defines trajectories that converge to and follow a given desired curve. The …

Aiming at the trajectory planning problem considering kinematic and dynamic manipulability
optimizations, this article proposes an acceleration level manipulability maximization …

Time-variant quadratic programming (QP) with multi-type constraints including equality,
inequality, and bound constraints is ubiquitous in practice. In the literature, there exist a few …

This letter proposes a strategy for autonomous precision landing of aerial vehicles in fixed
pads or runways. Our approach is based on a velocity vector field, which is a closed-loop …

Selecting suitable kinematic configurations for autonomous, flexible mobile systems remains
a prominent challenge in various applications of trajectory tracking, including path solver …

Recent advancements in constrained kinematic control make it an attractive strategy for
controlling robots with arbitrary geometry in challenging tasks. Most of the current works …

In the current research, kinematic analysis of a humanoid NAO is attempted. Here, both
Denavit–Hartenberg (DH) parameter approach and multibody formulation approach have …

This paper introduces a methodology for computing artificial vector fields designed to ensure
the convergence and circulation of trajectories to a curve in the pose space. Extending the …

Selecting suitable kinematic configurations for autonomous mobile systems with flexibility is
a challenge still evident in numerous applications, usually associated with trajectory tracking …