activity
20192022
most citedLearning to Track Dynamic Targets in Partially Known Environments

8 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Effect of Human Involvement on Work Performance and Fluency in Human-Robot Collaboration for Recycling

Sruthi Ramadurai, Heejin Jeong

Human-robot collaboration has significant potential in recycling due to the wide variation in the composition of recyclable products. Six participants performed a recyclable item s…

cs.HC20213 cited

Effects of Head-locked Augmented Reality on User's performance and perceived workload

Yalda Ghasemi, Ankit Singh, Myunghee Kim +2

An augmented reality (AR) environment includes a set of digital elements with which the users interact while performing certain tasks. Recent AR head-mounted displays allow users t…

cs.HC20211 cited

Model-based Task Analysis and Large-scale Video-based Remote Evaluation Methods for Extended Reality Research

Yalda Ghasemi, Heejin Jeong

In this paper, we introduce two remote extended reality (XR) research methods that can overcome the limitations of lab-based controlled experiments, especially during the COVID-19…

cs.LG20208 cited

Learning to Track Dynamic Targets in Partially Known Environments

Heejin Jeong, Hamed Hassani, Manfred Morari +2

We solve active target tracking, one of the essential tasks in autonomous systems, using a deep reinforcement learning (RL) approach. In this problem, an autonomous agent is tasked…

cs.LG2019

Learning Q-network for Active Information Acquisition

Heejin Jeong, Brent Schlotfeldt, Hamed Hassani +3

In this paper, we propose a novel Reinforcement Learning approach for solving the Active Information Acquisition problem, which requires an agent to choose a sequence of actions in…