Bio-inspired navigation systems for robots
Synthesizes biological navigation strategies with robotic implementations, featuring multi-scale models and real-world validation.
Advancing bio-robotics, autonomous navigation, and reliability engineering through collaborative research and translational outputs.
Select publications spanning bio-inspired navigation, sensor fusion, and aerospace reliability assessments.
Synthesizes biological navigation strategies with robotic implementations, featuring multi-scale models and real-world validation.
Introduces a multimodal fusion pipeline combining flow sensing, vision, and inertial data for resilient marine robotic platforms.
Presents a reliability engineering framework for propulsion monitoring with predictive degradation modeling and diagnostic validation.
Protecting core innovations while sharing reproducible frameworks that accelerate the field.
Patent-pending methodology integrating pheromone-inspired signaling, multi-modal fusion, and edge AI for resilient autonomy across unstructured domains.
Patent PendingComprehensive release covering swarm robot CAD, firmware, ROS 2 packages, and evaluation benchmarks enabling reproducible swarming research.
GitHub RepositoryAccess the latest curriculum vitae, research statement, and supplementary materials for ongoing projects.