Human-Risk-Aware Safe Path Planning Based on Reinforcement Learning for Autonomous Mobile Robots
This paper addresses the challenge of safe path planning for mobile robots operating in human-shared environments, where human movements are inherently stochastic. To this end, we propose a reinforcement-learning-based path planning algorithm that accounts for human-related uncertainties at the plan...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-11-01
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| Rangatū: | Sensors |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/1424-8220/25/23/7211 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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