Abstract We present an active learning architecture that allows a robot to
actively learn which data collection strategy is most efficient for acquiring
motor skills to achieve multiple outcomes, and generalise over its experience to
achieve new outcomes. The robot explores its environment both via interactive
learning and goal-babbling. It learns at the same time when, who and what to
actively im... hiện toàn bộ
Mervin Chandrapal, Xiaoqi Chen, Wenhui Wang, Benjamin Stanke, Nicolas Le Pape
Abstract Although surface electromyography (sEMG) has a high correlation to
muscle force, an accurate model that can estimate joint torque from sEMG is
still elusive. Artificial neural networks (NN), renowned as universal
approximators, have been employed to capture this complex nonlinear relation.
This work focuses on investigating possible improvements to the NN methodology
and algorithm that wo... hiện toàn bộ
Abstract Central pattern generators (CPGs), with a basis is neurophysiological
studies, are a type of neural network for the generation of rhythmic motion.
While CPGs are being increasingly used in robot control, most applications are
hand-tuned for a specific task and it is acknowledged in the field that generic
methods and design principles for creating individual networks for a given task
are l... hiện toàn bộ
Syed K. Hasnain, Ghilès Mostafaoui, Philippe Gaussier
Abstract Future robots must co-exist and directly interact with human beings.
Designing these agents imply solving hard problems linked to human-robot
interaction tasks. For instance, how a robot can choose an interacting partner
among various agents and how a robot locates regions of interest in its visual
field. Studies of neurobiology and psychology collectively named synchrony as an
indispensa... hiện toàn bộ
Fotios Papadopoulos, Kerstin Dautenhahn, Wan Ching Ho
Abstract Our long-term goal is to develop robots as social mediators that can
support human-human communication in remote interaction scenarios. This paper
explores the effects of an autonomous robot on human-human remote communication
and studies participants’ preferences in comparison with a communication system
not involving robots. We developed a platform for remote human-human
communication i... hiện toàn bộ
Abstract This paper presents a new approach to the multi-agent coverage
path-planning problem. An efficient multi-robot coverage algorithm yields a
coverage path for each robot, such that the union of all paths generates an
almost full coverage of the terrain and the total coverage time is minimized.
The proposed algorithm enables multiple robots with limited sensor capabilities
to perform efficie... hiện toàn bộ
Bernd J. Kröger, Peter Birkholz, Christiane Neuschaefer‐Rube
AbstractWhile we are capable of modeling the shape, e.g. face, arms, etc. of
humanoid robots in a nearly natural or human-like way, it is much more difficult
to generate human-like facial or body movements and human-like behavior like
e.g. speaking and co-speech gesturing. In this paper it will be argued for a
developmental robotics approach for learning to speak. On the basis of current
literatur... hiện toàn bộ
AbstractRobots and living beings exhibit latencies in their sensorimotor
processing due to mechanical and electronic or neural processing delays. A
reaction typically occurs to input stimuli of the past. This is critical not
only when the environment changes (e.g. moving objects) but also when the agent
itself moves. An agent that does not predict while moving may need to remain
static between sen... hiện toàn bộ
Chad Raymond Burns, Ranxiao Frances Wang, Dušan M. Stipanović
AbstractThis paper examines the impact of delays on human performance and human
strategies when remotely navigating autonomous vehicles, and develops a robust
human inspired delay compensation. Vehicles chosen for the study are ground
autonomous vehicles which are allowed to stop, providing an instrumental feature
that enables it to capture some important human behavior. The effects of delay
on hu... hiện toàn bộ
Paul Baxter, Joachim de Greeff, Rachel Wood, Tony Belpaeme
AbstractThe use of concepts is fundamental to human-level cognition, but there
remain a number of open questions as to the structures supporting this
competence. Specifically, it has been shown that humans use concept prototypes,
a flexible means of representing concepts such that it can be used both for
categorisation and for similarity judgements. In the context of autonomous
robotic agents, the... hiện toàn bộ