Online footstep planning is essential for bipedal walking robots, allowi...
Muscle-actuated control is a research topic of interest spanning differe...
We present a highly reactive controller which enables bipedal robots to
...
To achieve highly dynamic jumps of legged robots, it is essential to con...
Neuroevolution is an alternative to gradient-based optimisation that has...
Diversity-based approaches have recently gained popularity as an alterna...
Action-value estimation is a critical component of many reinforcement
le...
Online footstep planning is essential for bipedal walking robots to be a...
This paper addresses the problem of human body detection---particularly ...
In this work, we propose a novel mobile rescue robot equipped with an
im...
One of the most important features of mobile rescue robots is the abilit...
Online, off-policy reinforcement learning algorithms are able to use an
...
Social assistance robots in health and elderly care have the potential t...
Goal-oriented learning has become a core concept in reinforcement learni...
Exploration is a difficult challenge in reinforcement learning and even
...
Discrete-action algorithms have been central to numerous recent successe...
A novel skill learning approach is proposed that allows a robot to acqui...
An intent expression system using eye robots is proposed for a mascot ro...
Household robots need to communicate with human beings in a friendly fas...
A mechanism called Eligibility Propagation is proposed to speed up the T...
This preprint has been withdrawn by the author for revision...
Semantic web services (SWS) are self-contained, self-describing, semanti...