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Zisen Liu

dblp:304/4155 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 56% Legged, aerial and field robots · 44%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › aerial robots › aerial physical interaction
aerial manipulation
0.512021
Control of an Aerial Manipulator Using a Quadrotor with a Replaceable Robotic Arm · ICRA 2021
Robotics › Motion planning and robot control › manipulator control
aerial manipulator control
0.512021
Control of an Aerial Manipulator Using a Quadrotor with a Replaceable Robotic Arm · ICRA 2021
Robotics › Motion planning and robot control
robot control
0.512021
Control of an Aerial Manipulator Using a Quadrotor with a Replaceable Robotic Arm · ICRA 2021
Robotics › Legged, aerial and field robots
aerial robots
0.112021
Control of an Aerial Manipulator Using a Quadrotor with a Replaceable Robotic Arm · ICRA 2021
Robotics › Legged, aerial and field robots › aerial robots
quadrotor
0.112021
Control of an Aerial Manipulator Using a Quadrotor with a Replaceable Robotic Arm · ICRA 2021

Methods — techniques the papers use, named apart from their topics

linear model predictive control · 0.5feedforward control · 0.5
YearPublicationVenuePosition
2021 Control of an Aerial Manipulator Using a Quadrotor with a Replaceable Robotic Arm
abstract
Control of an aerial manipulator is challenging due to the decentralized dynamics of the aerial vehicle and the robotic arm. It is generally complex to adjust the controller of the aerial manipulator when replacing a different robotic arm. This paper presents a flexible control scheme for a quadrotor-based aerial manipulator equipped with a replaceable robotic arm. To analyze the dynamic characteristics during grasping, the model of the aerial manipulator is decentralized including the models of a quadrotor and the centroid of an n-DOF robotic arm. The interaction effect of a moving robotic arm on the quadrotor is considered by analyzing the varying centroid of the robotic arm. Based on the modeling of the aerial manipulator, a control scheme integrating a linear model predictive control (LMPC) and a feedforward controller is presented to accurately control the motion of the aerial platform. The LMPC controls the aerial vehicle to follow the desired trajectory, and a feedforward controller keeps the aerial platform hovering stably during grasping. Practical experiments with two different robotic arms are performed. Experimental results show that the proposed modeling and control scheme provides a flexible and effective approach for an aerial manipulator with a replaceable robotic arm.
Zizhen Ouyang, Ruidong Mei, Zisen Liu, Mingxin Wei, Zida Zhou
ICRA3