activity
20202023
most citedEffect of Haptic Assistance Strategy on Mental Engagement in Fine Motor Tasks

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023★ 5 cited

Effect of Haptic Assistance Strategy on Mental Engagement in Fine Motor Tasks

Hemanth Manjunatha, Shrey Pareek, Amirhossein H. Memar +2

This study investigates the effect of haptic control strategies on a subject's mental engagement during a fine motor handwriting rehabilitation task. The considered control strateg…

cs.HC2021

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…

cs.MA2021

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…

cs.RO2021

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…

cs.LG2020

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…