In this paper, we present a formal approach to reciprocal n-body collision avoidance, where
multiple mobile robots need to avoid collisions with each other while moving in a common …

We study the problem of robotic stacking with objects of complex geometry. We propose a
challenging and diverse set of such objects that was carefully designed to require strategies …

While deep reinforcement learning techniques have recently produced considerable
achievements on many decision-making problems, their use in robotics has largely been …

We present a new local collision avoidance algorithm between multiple agents for real-time
simulations. Our approach extends the notion of velocity obstacles from robotics and …

We explore global randomized joint-space path planning for articulated robots that are
subjected to task-space constraints. This paper describes a representation of constrained …

Researchers dream of developing autonomous humanoid robots which behave/walk like a
human being. Biped robots, although complex, have the greatest potential for use in human …

This study investigates the use of the non-linear model predictive control (NMPC) strategy
for a kinematically redundant space robot to approach an un-cooperative target in complex …

In this paper, the imitation of human captured motions by a humanoid robot is considered.
The main objective is to reproduce an imitated motion which should be as close as possible …

The growing variety and complexity of marine research and application oriented tasks
requires unmanned surface vehicles (USVs) to operate fully autonomously over long time …

We present a novel method for prioritizing both linear equality and inequality systems and
provide one algorithm for its resolution. This algorithm can be summarized as a sequence of …