TY - JOUR
T1 - The Palletrone Cart
T2 - Human-Robot Interaction-Based Aerial Cargo Transportation
AU - Park, Geonwoo
AU - Park, Hyungeun
AU - Park, Wooyong
AU - Lee, Dongjae
AU - Kim, Murim
AU - Lee, Seung Jae
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2024/8/1
Y1 - 2024/8/1
N2 - This letter presents a new cargo transportation solution based on physical human-robot interaction utilizing a novel fully-actuated multirotor platform called Palletrone. The platform is designed with a spacious upper flat surface for easy cargo loading, complemented by a rear-mounted handle reminiscent of a shopping cart. Flight trajectory control is achieved by a human operator gripping the handle and applying three-dimensional forces and torques while maintaining a stable cargo transport with zero roll and pitch attitude throughout the flight. To facilitate physical human-robot interaction, we employ an admittance control technique. Instead of relying on complex force estimation methods, like in most admittance control implementations, we introduce a simple yet effective estimation technique based on a disturbance observer robust control algorithm. We conducted an analysis of the flight stability and performance in response to changes in system mass resulting from arbitrary cargo loading. Ultimately, we demonstrate that individuals can effectively control the system trajectory by applying appropriate interactive forces and torques. Furthermore, we showcase the performance of the system through various experimental scenarios.
AB - This letter presents a new cargo transportation solution based on physical human-robot interaction utilizing a novel fully-actuated multirotor platform called Palletrone. The platform is designed with a spacious upper flat surface for easy cargo loading, complemented by a rear-mounted handle reminiscent of a shopping cart. Flight trajectory control is achieved by a human operator gripping the handle and applying three-dimensional forces and torques while maintaining a stable cargo transport with zero roll and pitch attitude throughout the flight. To facilitate physical human-robot interaction, we employ an admittance control technique. Instead of relying on complex force estimation methods, like in most admittance control implementations, we introduce a simple yet effective estimation technique based on a disturbance observer robust control algorithm. We conducted an analysis of the flight stability and performance in response to changes in system mass resulting from arbitrary cargo loading. Ultimately, we demonstrate that individuals can effectively control the system trajectory by applying appropriate interactive forces and torques. Furthermore, we showcase the performance of the system through various experimental scenarios.
KW - APhI
KW - admittance control
KW - aerial transportation
KW - disturbance observer
KW - physical human-robot interaction
UR - http://www.scopus.com/inward/record.url?scp=85196544051&partnerID=8YFLogxK
U2 - 10.1109/LRA.2024.3416794
DO - 10.1109/LRA.2024.3416794
M3 - Article
AN - SCOPUS:85196544051
SN - 2377-3766
VL - 9
SP - 6999
EP - 7006
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 8
ER -