arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
Assigning
repetitive
and
physically-demanding
construction
tasks
to
robots
can
alleviate
human
workers's
exposure
occupational
injuries.
Transferring
necessary
dexterous
adaptive
artisanal
craft
skills
from
workers
is
crucial
for
the
successful
delegation
of
achieving
high-quality
robot-constructed
work.
Predefined
motion
planning
scripts
tend
generate
rigid
collision-prone
robotic
behaviors
in
unstructured
site
environments.
In
contrast,
Imitation
Learning
(IL)
offers
a
more
robust
flexible
skill
transfer
scheme.
However,
majority
IL
algorithms
rely
on
repeatedly
demonstrate
task
performance
at
full
scale,
which
be
counterproductive
infeasible
case
To
address
this
concern,
paper
proposes
an
immersive,
cloud
robotics-based
virtual
demonstration
framework
that
serves
two
primary
purposes.
First,
it
digitalizes
process,
eliminating
need
physical
manipulation
heavy
objects.
Second,
employs
federated
collection
reusable
demonstrations
are
transferable
similar
future
thus
reduce
requirement
illustration
by
agents.
Additionally,
enhance
trustworthiness,
explainability,
ethical
soundness
robot
training,
utilizes
Hierarchical
(HIL)
model
decompose
into
sequential
reactive
sub-skills.
These
layers
represented
deep
generative
models,
enabling
control
actions.
By
delegating
strains
work
human-trained
robots,
promotes
inclusion
with
diverse
capabilities
educational
backgrounds
within
industry.
Journal of Applied Mathematics and Computation,
Год журнала:
2024,
Номер
8(1), С. 59 - 67
Опубликована: Апрель 26, 2024
This
paper
aims
to
develop
a
mathematical
model
of
mobile
robot,
utilizing
deductive
approach
create
versatile
applicable
various
tasks
and
adjusted
for
specific
scenarios.The
study
employed
dynamic
modeling
simulation
analysis
investigate
the
posture
stabilization
humanoid
upperbody
robot
amidst
diverse
disturbances
cart
movements.Control
strategies
were
implemented,
simulations
conducted
using
MATLAB
assess
robot's
stability
performance
under
findings
demonstrate
successful
navigation
through
obstacle
configurations,
albeit
encountering
challenges
at
higher
speeds.The
emphasizes
relevance
robots
in
human-centered
environments,
underscoring
importance
balance,
stability,
accuracy
functioning.This
research
provides
new
insights
directions
future
studies
field
robotics.It
highlights
practical
implications
developing
capable
navigating
complex
contributing
advancements
service
robotics.By
simulating
wheeled
this
offers
original
contributions
literature.It
underscores
significance
addressing
related
posture,
robustness,
avoidance
enhancing
functionality
real-world
applications
This
review
aims
to
provide
a
general
resource
for
occupational
health
stakeholders.
It
also
serves
as
clinical
guide
frontline
providers
and
policy
framework
employers
regulators.
Medical
surgical
emergencies
in
settings
can
cause
serious
harm
if
not
identified
managed
early.
covers
trauma,
chemical
exposures,
thermal
injuries,
respiratory
distress,
infectious
hazards.
We
outline
signs,
diagnostic
steps,
initial
care,
follow-up
plans.
discuss
preventive
strategies
such
hazard
assessments
safety
protocols.
Evidence-based
guidelines
practical
methods
lower
injury
death
rates.
Our
objective
is
help
stakeholders
recognize
risks,
respond
fast,
improve
outcomes.
Future
studies
should
monitor
examine
new
threats,
novel
industrial
processes
evolving
pathogens,
optimize
workplace
safety.
IISE Transactions on Occupational Ergonomics and Human Factors,
Год журнала:
2024,
Номер
12(1-2), С. 6 - 27
Опубликована: Янв. 8, 2024
Autonomous
mobile
robots
are
used
in
manufacturing
and
warehousing
industries,
to
transport
material
across
the
facility
deliver
parts
work
cells.
Human
workers
might
encounter
or
interact
with
these
aisle
ways
at
their
workstation.
It
is
important
consider
factors
that
impact
worker
safety
trust
when
implementing
autonomous
workplace.
This
paper
reviews
prior
research
aims
improve
of
human-robot
interaction
identifies
needs
for
future
research.
Researchers
a
variety
questionnaires
behavioral
assessment
methods
measure
perceived
safety.
Factors
such
as
robot
appearance,
approach
speed,
direction,
significantly
affect
Additionally,
projection
signals
on
floor,
turn
signals,
haptic
communication
devices,
can
predictability
overall
navigation.
Automation in Construction,
Год журнала:
2024,
Номер
162, С. 105391 - 105391
Опубликована: Март 23, 2024
Construction
robotics
has
emerged
as
a
leading
technology
in
the
construction
industry.
This
paper
conducts
an
innovative
dual-track
quantitative
comprehensive
method
to
analyze
current
literature
and
assess
future
trends.
First,
bibliometric
review
of
955
journal
articles
published
between
1974
2023
was
performed,
exploring
keywords,
journals,
countries,
clusters.
Furthermore,
neural
topic
model
based
on
BERTopic
addresses
modeling
repetition
issues.
The
study
identifies
building
information
(BIM),
human–robot
collaboration
(HRC),
deep
reinforcement
learning
(DRL)
"three
pillars"
field.
Additionally,
we
systematically
reviewed
relevant
nested
symbiotic
relationships.
outcome
this
is
twofold:
first,
findings
provide
qualitative
scientific
guidance
for
research
trends;
second,
analysis
methodology
simultaneously
stimulates
critical
thinking
about
other
similarly
trending
topics
characterized
avoid
high
degree
homogeneity
corpus
overlap.
Buildings,
Год журнала:
2023,
Номер
13(11), С. 2885 - 2885
Опубликована: Ноя. 19, 2023
This
article
presents
a
comprehensive
review
of
the
safety
status
and
technological
development
in
high-risk
industries,
with
focus
on
construction,
mining,
agriculture,
transportation,
healthcare,
energy
sectors.
The
objective
is
to
analyse
compare
current
practices,
challenges,
advancements
these
industries
identify
common
trends,
knowledge
gaps,
potential
areas
for
improvement.
explores
incidence
accidents,
associated
costs,
traditional
methods,
limitations,
emerging
technologies
employed
enhance
across
multiple
industries.
aims
provide
insights
lessons
that
can
be
applied
practices
construction
industry.
findings
highlight
critical
role
mitigating
risks
fostering
culture
diverse
Journal of Computing in Civil Engineering,
Год журнала:
2024,
Номер
38(4)
Опубликована: Апрель 17, 2024
Assigning
repetitive
and
physically
demanding
construction
tasks
to
robots
can
alleviate
human
workers'
exposure
occupational
injuries,
which
often
result
in
significant
downtime
or
premature
retirement.
However,
the
successful
delegation
of
achievement
high-quality
robot-constructed
work
requires
transferring
necessary
dexterous
adaptive
craft
skills
from
workers
robots.
Predefined
motion
planning
scripts
tend
generate
rigid
collision-prone
robotic
behaviors
unstructured
site
environments.
In
contrast,
imitation
learning
(IL)
offers
a
more
robust
flexible
skill
transfer
scheme.
majority
IL
algorithms
rely
on
repeatedly
demonstrating
task
performance
at
full
scale,
be
counterproductive
infeasible
case
work.
To
address
this
concern,
paper,
we
propose
an
immersive
Cloud
Robotics-based
virtual
demonstration
framework
that
serves
two
primary
purposes.
First,
it
digitalizes
process,
eliminating
need
for
physical
manipulation
heavy
objects.
Second,
employs
federated
collection
reusable
demonstrations
are
transferable
similar
future
can,
consequently,
reduce
requirement
illustration
by
agents.
addition,
enhance
trustworthiness,
explainability,
ethical
soundness
robot
training,
utilizes
hierarchical
(HIL)
model
decompose
into
sequential
reactive
subskills.
These
layers
represented
deep
generative
models;
these
models
enable
control
action.
The
proposed
has
potential
mitigate
technical
adoption
barriers
facilitate
practical
deployment
full-scale
perform
variety
with
supervision.
By
delegating
strains
human-trained
robots,
promotes
inclusion
diverse
capabilities
educational
backgrounds
within
industry.
