Eduardo Mojica‐Nava

About

Eduardo Mojica‐Nava is a leading researcher in multi-robot systems, focusing on search and rescue, swarm robotics, and agricultural automation. His major contributions include developing control strategies for heterogeneous robot networks, such as a 2017 paper (16 citations) that integrates real-time control and task allocation for victim search and evacuation. He also pioneered an ant-based exploration algorithm (2019, 13 citations) enabling robots to navigate non-convex spaces without constant connectivity, a breakthrough for disaster response. Mojica‐Nava’s work on affordable swarm testbeds, like the ARGroHBotS (2021, 6 citations), democratizes access to multi-agent research, while his event-triggered coordination systems (2019, 2 citations) advance precision agriculture. Notably, he applies reinforcement learning to humanoid gait control (2022, 2 citations), bridging simulation and real-world robotics. With over 50 citations across his top papers, Mojica‐Nava’s research impacts both theoretical frameworks and practical deployments, making him a key figure in scalable, resilient multi-agent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Victims search, identification, and evacuation with heterogeneous robot networks for search and rescue

   16 citations · 2017
2. 2
   Ant-Based Multi-Robot Exploration in Non-Convex Space without Global-Connectivity Constraints

   13 citations · 2019
3. 3
   Exploration with Heterogeneous Robots Networks for Search and Rescue

   11 citations · 2017
4. 4
   ARGroHBotS: An Affordable and Replicable Ground Homogeneous Robot Swarm Testbed

   6 citations · 2021
5. 5
   Event-triggered Coordination of Multi-agent Systems in Agricultural Environments

   2 citations · 2019
6. 6
   Reinforcement Learning for Bipedal Gait with MAX-E2 Humanoid Robot

   2 citations · 2022

Key Collaborators

Contact & Links