.png){kind=icon}
.png){kind=icon}
Return
Robot trajectory generation based on human motion behaviour
.png){kind=icon}
OA
AI
DOI：10.1016/j.robot.2026.105495.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A probabilistic model enables natural, diverse, human-like robot movements. • Map human motion from LS to CS to generate robot trajectories in real time. • The robot adapts its trajectory to human behaviour using real-time force feedback. • Method improves coordination and harmony in human-robot task execution.
Keywords:
Human–robot collaboration
Human motion modelling
Collaborative handling tasks
Probabilistic data-driven approach
Data mapping structure
Human motion intention
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.2
Papers:
639
Citations:
1.0W