21 citations · 43 across the 4 of their papers we have counts for
5 papers
From Novice to Skilled: RL-based Shared Autonomy Communicating with Pilots in UAV Multi-Task Missions
Kal Backman, Dana Kulić, Hoam Chung
Multi-task missions for unmanned aerial vehicles (UAVs) involving inspection and landing tasks are challenging for novice pilots due to the difficulties associated with depth perce…
Reinforcement Learning for Shared Autonomy Drone Landings
Kal Backman, Dana Kulić, Hoam Chung
Novice pilots find it difficult to operate and land unmanned aerial vehicles (UAVs), due to the complex UAV dynamics, challenges in depth perception, lack of expertise with the con…
Learning to Assist Drone Landings
Kal Backman, Dana Kulić, Hoam Chung
Unmanned aerial vehicles (UAVs) are often used for navigating dangerous terrains, however they are difficult to pilot. Due to complex input-output mapping schemes, limited percepti…
Distributed Adaptive Coverage Control of Differential Drive Robotic Sensors
Rihab Abdul Razak, Srikant Sukumar, Hoam Chung
This paper is concerned with the deployment of multiple mobile robots in order to autonomously cover a region Q. The region to be covered is described using a density function whic…
Scalar Field Estimation with Mobile Sensor Networks
Rihab Abdul Razak, Sukumar Srikant, Hoam Chung
In this paper, we consider the problem of estimating a scalar field using a network of mobile sensors which can measure the value of the field at their instantaneous location. The…