4 papers
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction
Joseph P. Distefano, Hemanth Manjunatha, Souma Chowdhury +3
Human-swarm interaction has recently gained attention due to its plethora of new applications in disaster relief, surveillance, rescue, and exploration. However, if the task diffic…
Learning Robot Swarm Tactics over Complex Adversarial Environments
Amir Behjat, Hemanth Manjunatha, Prajit KrisshnaKumar +8
To accomplish complex swarm robotic missions in the real world, one needs to plan and execute a combination of single robot behaviors, group primitives such as task allocation, pat…
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas
Leighton Collins, Payam Ghassemi, Ehsan T. Esfahani +3
This paper presents a novel multi-robot coverage path planning (CPP) algorithm - aka SCoPP - that provides a time-efficient solution, with workload balanced plans for each robot in…
Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games
Chaitanya Thammineni, Hemanth Manjunatha, Ehsan T. Esfahani
This paper presents the selective use of eye-gaze information in learning human actions in Atari games. Vast evidence suggests that our eye movement convey a wealth of information…