A Unified Whole-Body Control Method for 3D Target Visual Tracking with a Mobile Manipulator

Visual tracking with a mobile manipulator is required to continuously keep a moving target near the center of the camera’s field of view. Conventional methods generally employ either the mobile base or the manipulator alone for target tracking. However, base-only tracking provides limited task-space motion capability, whereas arm-only tracking is restricted by the finite workspace and joint limits of the manipulator. To address this problem, this paper proposes integrating base–camera alignment and gain-scheduling visual servoing controller into a unified whole-body control frame to generate coordinated motion of the mobile base and the robotic arm for visual tracking. The mobile base and six-joint manipulator are represented as an eight-degree of freedom kinematic system, and their velocities are determined simultaneously by a quadratic program incorporating joint and velocity constraints. Auxiliary objectives regulate arm manipulability, transient motion allocation, and base–camera alignment. The proposed method enables the robot to reactively track a moving target in a three-dimensional workspace while maintaining the desired target distance. Experiments on a mobile manipulator demonstrate coordinated base–arm motion for the tested target-tracking tasks. In an illustrative controller-level step response, gain scheduling reduces the settling time from 7.99 s to 2.39 s relative to the previous fixed-gain configuration.

Authors

Institutions

Publication Details

Journal
Machines
Published
2026-11-02
DOI
https://doi.org/10.3390/machines14111286
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Unified Whole-Body Control Method for 3D Target Visual Tracking with a Mobile Manipulator

Xinyang Tian, Fan Yang, Yuliang Guo, Renluan Hou et al.
Machines
Control and Dynamics of Mobile Robots
article

A Unified Whole-Body Control Method for 3D Target Visual Tracking with a Mobile Manipulator

Xinyang Tian, Fan Yang, Yuliang Guo, Renluan Hou, Li Zhang, Bing Han, Xiaolong Yu
article en

Abstract

Visual tracking with a mobile manipulator is required to continuously keep a moving target near the center of the camera’s field of view. Conventional methods generally employ either the mobile base or the manipulator alone for target tracking. However, base-only tracking provides limited task-space motion capability, whereas arm-only tracking is restricted by the finite workspace and joint limits of the manipulator. To address this problem, this paper proposes integrating base–camera alignment and gain-scheduling visual servoing controller into a unified whole-body control frame to generate coordinated motion of the mobile base and the robotic arm for visual tracking. The mobile base and six-joint manipulator are represented as an eight-degree of freedom kinematic system, and their velocities are determined simultaneously by a quadratic program incorporating joint and velocity constraints. Auxiliary objectives regulate arm manipulability, transient motion allocation, and base–camera alignment. The proposed method enables the robot to reactively track a moving target in a three-dimensional workspace while maintaining the desired target distance. Experiments on a mobile manipulator demonstrate coordinated base–arm motion for the tested target-tracking tasks. In an illustrative controller-level step response, gain scheduling reduces the settling time from 7.99 s to 2.39 s relative to the previous fixed-gain configuration.

MachinesVol. 14(11)
Beihang University (CN)
Openalex Percentile: Top 20%
Control and Dynamics of Mobile Robots
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
A Unified Whole-Body Control Method for 3D Target Visual Tracking with a Mobile Manipulator — Xinyang Tian, Fan Yang, et al. · Machines (2026) | TGRS Research Map | TGRS