.png){kind=icon}
.png){kind=icon}
Return
Handedness-aware motion mapping for human-robot teleoperation via meta-motion alignment and trajectory reconstruction
.png){kind=icon}
PRE
AI
Y
J
W
H
F
P
B
S
L
DOI：10.1016/j.jmsy.2026.04.038.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A handedness-aware motion mapping improves non-dominant hand teleoperation performance in industrial assembly tasks. • Meta-motion semantic alignment enables stable online motion recognition and unified dominant and non-dominant hand representations. • Semantic-guided style mapping with shared control reduces completion time, jerk, and workload in teleoperated assembly. • This work addresses handedness-induced inefficiency in industrial teleoperated assembly, improving task performance.
Keywords:
handedness-aware motion mapping
meta-motion semantic alignment
teleoperated assembly
human-robot collaboration
trajectory reconstruction
Journal
IF:
14.2
Papers:
2.6K
Citations:
1.6W
Organization
Cited Papers