Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay*
Author:
Affiliation:
1. University of Luxembourg,Automation and Robotics Research Group, Interdisciplinary Centre for Security, Reliability and Trust (SnT)
2. College of Interdisciplinary Science of Technology, University of Tehran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10556795/10556824/10557049.pdf?arnumber=10557049
Reference23 articles.
1. UAV Path Planning Employing MPC-Reinforcement Learning Method Considering Collision Avoidance
2. Human-Drone Interaction (HDI): Opportunities and Considerations in Construction
3. Robot’s Gendering Trouble: A Scoping Review of Gendering Humanoid Robots and Its Effects on HRI
4. To The Effects of Anthropomorphic Cues on Human Perception of Non-Human Robots: The Role of Gender;Ramezani;arXiv preprint,2023
5. Anthropomorphism and Human Likeness in the Design of Robots and Human-Robot Interaction
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1. Energy-Aware Hierarchical Reinforcement Learning Based on the Predictive Energy Consumption Algorithm for Search and Rescue Aerial Robots in Unknown Environments;Drones;2024-06-23
2. PPO-Based Dynamic Control of Uncertain Floating Platforms in Zero-G Environment;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
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