Alejandro Hidalgo‐Paniagua

About

Alejandro Hidalgo-Paniagua is a leading researcher in mobile robotics, specializing in multi-objective path planning and socially-aware navigation. His work addresses the challenge of enabling autonomous robots to navigate complex, dynamic environments while balancing efficiency, safety, and social acceptability. His most influential contribution, the firefly-based approach for multi-objective path planning (127 citations), established a novel bio-inspired framework for optimizing robot trajectories. He further advanced the field with the MOSFLA algorithm (66 citations) and the MOVNS algorithm (49 citations), demonstrating the power of metaheuristic methods in robotics. His Quad-RRT algorithm (33 citations) introduced real-time GPU-based global path planning for large-scale environments. In recent years, Hidalgo-Paniagua has focused on socially-aware robot navigation, exploring how robots can move smoothly and acceptably in crowded human spaces (21 and 19 citations). His work on self-adaptive robotics using MAPE-K loops and graph-based runtime models (14 citations) addresses the need for robots to adapt to open, dynamic environments. He has also integrated voice interfaces like Alexa into robotic platforms (6 citations), bridging human-robot interaction. With over 330 total citations, Hidalgo-Paniagua's research is shaping the future of autonomous, socially intelligent service robots.

Research Focus

Key Achievements

Top Papers

1. 1
   Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach

   127 citations · 2015
2. 2
   MOSFLA-MRPP: Multi-Objective Shuffled Frog-Leaping Algorithm applied to Mobile Robot Path Planning

   66 citations · 2015
3. 3
   Applying the MOVNS (multi-objective variable neighborhood search) algorithm to solve the path planning problem in mobile robotics

   49 citations · 2016
4. 4
   Quad-RRT: A real-time GPU-based global path planner in large-scale real environments

   33 citations · 2018
5. 5
   Evolution of Socially-Aware Robot Navigation

   21 citations · 2023
6. 6
   Measuring Smoothness as a Factor for Efficient and Socially Accepted Robot Motion

   19 citations · 2020
7. 7
   On Managing Knowledge for MAPE-K Loops in Self-Adaptive Robotics Using a Graph-Based Runtime Model

   14 citations · 2022
8. 8
   Integration of the Alexa Assistant as a Voice Interface for Robotics Platforms

   6 citations · 2019

Key Collaborators

Contact & Links