Moses Biological Computation Lab - Swarm Robotics Research Group
Research group at University of New Mexico designing robot swarms that emulate natural behaviors observed in biological systems. Uses evolutionary algorithms to develop efficient collective search and coordination strategies inspired by ant foraging and immune cell behavior.
Notable achievements
Biologically-inspired swarm algorithms; natural selection-based behavior optimization
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Dynamic reconfiguration in multi-robot agent systems using embedded language models
Shokhikha Amalana Murdivien, Jongsu Park, Jumyung Um
Robotics and Computer-Integrated Manufacturing · 2026
Unveiling Complex Collective Behaviors from Simple Rewards
Yize Mi, Jianan Li, Liang Li +1 more
2026
Self-reconfiguring modular robotic boats.
Wang W, Hagemann N, Gonzalez-Garcia A +2 more
Nature communications · 2026
Bubble-raft inspired shape-assembly in flying robot swarm for uniform formation and obstacle traversal.
Li H, Su J, Li Z +3 more
Communications engineering · 2026
SPACE: Swarm Pheromone Fields for Adaptive Collision-Aware Exploration
Haohua Que, Haojia Gao, Mingkai Liu +3 more
2026
Drivers of Variation in the Optimal Spatial Structure of Collective Information Gatherers.
Walker RS, Ramos-Fernandez G, Boyer D +3 more
Bulletin of mathematical biology · 2026