HIGHLIGHTS
- What: The authors propose a scalable shared control system that ensures safe and efficient navigation in complex environments.
- Who: Mitat Uysal from the gus University have published the article: International Journal for Multidisciplinary Research (IJFMR), in the Journal: (JOURNAL)
- How: This paper presents a shared control framework for a walkingassistant focusing on user intention prediction and real-time obstacle avoidance.
- Future: Future work will focus on implementing advanced machine_learning techniques for better intention prediction and real-world deployment.
SUMMARY
Walking-assistant robots aim to empower individuals with . . .
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