Adaptive Navigation of a Smart Walker with Shared Control

The global surge in the elderly population has increased the awareness of their needs. Supporting mobility and perception is vital to improving their quality of life. This project introduces a prototype of an active smart walker with obstacle avoidance and assistive navigation features to aid the elderly. The system can plan routes and move in familiar environments, adjusting its actions based on the user’s intentions. To accomplish this, a shared control approach employs a force–torque sensor to gauge the user’s will. The proposed system has been tested in multiple scenarios, replicating a common use in real-world environments.

Authors

Institutions

Publication Details

Journal
Actuators
Published
2025-05-01
DOI
https://doi.org/10.3390/act14050224
Citations
3
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
3.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive Navigation of a Smart Walker with Shared Control

Giuseppe Sutera, Dario Calogero Guastella, Giovanni Muscato, Francesco Cancelliere
3 citations
Actuators
Robotic Path Planning Algorithms
3.83
article

Adaptive Navigation of a Smart Walker with Shared Control

Giuseppe Sutera, Dario Calogero Guastella, Giovanni Muscato, Francesco Cancelliere
article en
3 citations

Abstract

The global surge in the elderly population has increased the awareness of their needs. Supporting mobility and perception is vital to improving their quality of life. This project introduces a prototype of an active smart walker with obstacle avoidance and assistive navigation features to aid the elderly. The system can plan routes and move in familiar environments, adjusting its actions based on the user’s intentions. To accomplish this, a shared control approach employs a force–torque sensor to gauge the user’s will. The proposed system has been tested in multiple scenarios, replicating a common use in real-world environments.

ActuatorsVol. 14(5)
University of Catania (IT)
Openalex Percentile: Top 7%
Robotic Path Planning Algorithms
3.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Adaptive Navigation of a Smart Walker with Shared Control — Giuseppe Sutera, Dario Calogero Guastella, et al. · Actuators (2025) | TGRS Research Map | TGRS