Matthew Malencia
Papers
5
Total Citations
103
H-Index
4
About
Matthew Malencia is a leading researcher in multi-robot systems, focusing on resilient coordination, task planning, and socially-aware autonomy. His work addresses fundamental limitations in traditional robotics, moving beyond simple robustness to develop resilient systems capable of operating in unknown and adversarial environments. His most cited paper, "Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems" (40 citations), provides a critical framework for the field. In "Reactive Temporal Logic Planning for Multiple Robots in Unknown Environments" (38 citations), he introduced a novel algorithm enabling robots to collectively learn and adapt their missions in real-time. Malencia has also advanced multi-robot coordination with task precedence relationships and developed adaptive sampling strategies for heterogeneous robot teams. Notably, his recent work on "Socially Fair Coverage Control" pioneers algorithms that optimize for equity in societal applications like disaster response, ensuring fair resource distribution rather than just average efficiency. With over 100 total citations and a growing portfolio of high-impact publications, Malencia is shaping the future of resilient, cooperative, and socially responsible multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reactive Temporal Logic Planning for Multiple Robots in Unknown Environments38 citations · 2020
- 3Multi-Robot Coordination and Cooperation with Task Precedence Relationships14 citations · 2023
- 4
- 5Socially Fair Coverage Control3 citations · 2023