2 citations · 2 across the 9 of their papers we have counts for
9 papers
Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay
Mahya Ramezani, Jose Luis Sanchez-Lopez
The integration of Unmanned Aerial Vehicles (UAVs) into Search and Rescue (SAR) missions presents a promising avenue for enhancing operational efficiency and effectiveness. However…
Safe Hierarchical Reinforcement Learning for CubeSat Task Scheduling Based on Energy Consumption
Mahya Ramezani, M. Amin Alandihallaj, Jose Luis Sanchez-Lopez +1
This paper presents a Hierarchical Reinforcement Learning methodology tailored for optimizing CubeSat task scheduling in Low Earth Orbits (LEO). Incorporating a high-level policy f…
Faster Optimization in S-Graphs Exploiting Hierarchy
Hriday Bavle, Jose Luis Sanchez-Lopez, Javier Civera +1
3D scene graphs hierarchically represent the environment appropriately organizing different environmental entities in various layers. Our previous work on situational graphs extend…
Graph-based Global Robot Simultaneous Localization and Mapping using Architectural Plans
Muhammad Shaheer, Jose Andres Millan-Romera, Hriday Bavle +3
In this paper, we propose a solution for graph-based global robot simultaneous localization and mapping (SLAM) using architectural plans. Before the start of the robot operation, t…
Multi S-graphs: A Collaborative Semantic SLAM architecture
Miguel Fernandez-Cortizas, Hriday Bavle, Jose Luis Sanchez-Lopez +2
Collaborative Simultaneous Localization and Mapping (CSLAM) is a critical capability for enabling multiple robots to operate in complex environments. Most CSLAM techniques rely on…
UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance
Mahya Ramezani, Hamed Habibi, Jose luis Sanchez Lopez +1
In this paper, we tackle the problem of Unmanned Aerial (UA V) path planning in complex and uncertain environments by designing a Model Predictive Control (MPC), based on a Long-Sh…