Papers
17
Total Citations
152
H-Index
8
About
Marco Morales is a robotics researcher whose work spans motion planning, multi-robot systems, and algorithmic foundations of robotics. With a career stretching from early contributions in probabilistic roadmap methods to cutting-edge multi-robot coordination, Morales has consistently pushed the boundaries of what autonomous systems can accomplish in complex environments. His most influential contributions address the fundamental challenge of planning efficient robot motion at scale. His hypergraph-based multi-robot task and motion planning framework (2023, 23 citations) achieved solution times up to three orders of magnitude faster than prior methods, enabling planning for systems involving up to 20 objects — a landmark result in the field. Complementary work on topological guidance, including his HAS-RRT algorithm, delivers up to 91% runtime reductions in single-robot planning while maintaining solution quality. His battery-constrained coverage research (21 citations) extended these ideas to practical deployment scenarios, while the Adaptive Robot Coordination framework tackles real-world congestion challenges facing warehouse and logistics robotics. Beyond algorithms, Morales has contributed to broader community knowledge through editorial work on *Algorithmic Foundations of Robotics XIII* and early explorations applying roadmap methods to cortical network modeling. His cumulative body of work makes him a significant voice in scalable, practically-deployable robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1Hypergraph-Based Multi-robot Task and Motion Planning23 citations · 2023
- 2Incremental Map Generation (IMG)22 citations · 2008
- 3Battery-constrained coverage21 citations · 2016
- 4
- 5Algorithmic Foundations of Robotics XIII12 citations · 2020
- 6Deep Prediction of Swept Volume Geometries: Robots and Resolutions11 citations · 2020
- 7Structural Improvement Filtering Strategy for PRM9 citations · 2008
- 8HAS-RRT: RRT-Based Motion Planning Using Topological Guidance8 citations · 2025
- 9
- 10Neuron PRM: a framework for constructing cortical networks7 citations · 2003