Peisheng Huang

dblp:301/8619 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—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 · 87% Robot manipulation · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
force control
0.812024
Stiffness-Based Hybrid Motion/ Force Control for Cable-Driven Serpentine Manipulator · ICRA 2024
Robotics › Motion planning and robot control › robot control › force control
hybrid force/motion control
0.812024
Stiffness-Based Hybrid Motion/ Force Control for Cable-Driven Serpentine Manipulator · ICRA 2024
Robotics › Robot manipulation › cable-driven robot
cable-driven manipulator
0.212024
Stiffness-Based Hybrid Motion/ Force Control for Cable-Driven Serpentine Manipulator · ICRA 2024
YearPublicationVenuePosition
2024 Stiffness-Based Hybrid Motion/ Force Control for Cable-Driven Serpentine Manipulator
abstract
In recent years, there has been a growing demand for robotic manipulators to perform tasks in various unstructured environments and situations requiring precision and force control. However, traditional robotic arms have limitations in fully leveraging their advantages in such scenarios. To address this demand, we have designed a cable-driven serpentine manipulator (CDSM) that combines force and precision motion control. This control method allows for precise manipulation of forces and torques at the end-effector, particularly in applications like electric vehicle charging and narrow-space exploration. It also enables independent control in multiple configurations. We achieve force-position hybrid control in task space, ensuring accurate control of end-effector force while achieving precise position control in other directions. Additionally, we implement joint angle closed-loop control in joint space to reduce the impact of cable elasticity deformation and friction on joint motion accuracy. Finally, servo control is applied at the lowest motor level. This paper investigates the modeling, sensing, and control of CDSM within a unified framework of hybrid motion/force control. Through experiments and simulations, we demonstrate the high accuracy and practicality of this control method in various scenarios.
Wenfu Xu, Peisheng Huang, Boyang Lin, Bin Liang 0001
ICRA3