Controlling complex tasks in robotic systems, such as circular motion for cleaning or
following curvy lines, can be dealt with using nonlinear vector fields. This article introduces a …

Learning from humans allows nonexperts to program robots with ease, lowering the
resources required to build complex robotic solutions. Nevertheless, such data-driven …

With respect to the dynamic target tracking issue in the obstacle environment, this article
provides a collision-free tracking framework combining a modified guidance vector field …

Autonomous navigation in highly populated areas remains a challenging task for robots
because of the difficulty in guaranteeing safe interactions with pedestrians in unstructured …

Humans excel at navigating and moving through dynamic and complex spaces, such as
crowded streets. For robots to do the same, it is crucial that they are endowed with highly …

Dexterous manipulation of objects once held in hand remains a challenge. Such skills are,
however, necessary for robotics to move beyond gripper-based manipulation and use all the …

The need for rapid and reliable robot deployment is on the rise. Imitation Learning (IL) has
become popular for producing motion planning policies from a set of demonstrations …

Dynamical system (DS) based motion planning offers collision-free motion, with closed-loop
reactivity thanks to their analytical expression. It ensures that obstacles are not penetrated …

Evaluating and updating the obstacle avoidance velocity for an autonomous robot in real-
time ensures robust-ness against noise and disturbances. A passive damping con-troller …

We address the problem of finding mixed-strategy Nash equilibrium for crowd navigation.
Mixed-strategy Nash equilibrium provides a rigorous model for the robot to anticipate …