Abstract by John Grosh
Effective Interfacing of Human and Robotic Swarm Organizations
Robotic swarms have the potential to consistently solve distributed tasks in a fault tolerant and inexpensive manner. Often human intuition and situational awareness enhance a swarm’s decision making capability, but understanding of appropriate pairings of both human and robotic swarm structure is limited. We use agent based simulations to explore how hierarchical and non-hierarchical human organization interface with robotic swarms. We specifically examine how human and robotic components work together in scenarios involving the pursuit of agents actively avoiding capture. We also observe how performance degrades with the introduction of communication equipment failures and malicious interference.