Virtual Contact Loop: Performance-Oriented Cartesian Impedance Synthesis for Robotic Manipulators

Abstract Cartesian impedance control is widely used to regulate physical interaction between robots and their environments. However, the configuration-dependent inertia and strong coupling of Cartesian dynamics make the systematic design of damping and stiffness matrices challenging. This paper proposes a performance-oriented Cartesian impedance synthesis method based on a virtual contact loop, termed VCL-IS. The virtual loop tracks the theoretical response of a desired impedance over a prescribed frequency range, converting impedance design into a weighted generalized-plant optimization problem. The synthesis objective combines weighted $\mathcal H_2$ and $\mathcal H_\infty$ performance with the negative spectral abscissa to balance compliance, aggregate robustness, and asymptotic convergence. Two- and six-dimensional simulations demonstrate that VCL-IS exploits dynamic coupling to achieve larger compliant displacements with low overshoot at comparable response speeds. The optimized damping and stiffness matrices exhibit interpretable modal relationships with the target bandwidth. For configuration-dependent inertia, a common quadratic Lyapunov analysis yields a sufficient admissible interval for time-varying modal frequencies, which is enforced in an SAC-based adaptation policy. Physical-robot experiments further show closer agreement between theoretical and measured six-dimensional responses than the baseline methods. These results support VCL-IS as an interpretable framework for performance-oriented synthesis and time-varying extension of coupled Cartesian impedance.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-09
DOI
https://doi.org/10.21203/rs.3.rs-11639508/v1
Primary Topic
Robot Manipulation and Learning
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Virtual Contact Loop: Performance-Oriented Cartesian Impedance Synthesis for Robotic Manipulators

Changjun Li, Hu Shi, Xuesong Mei, Fei Zhao et al.
Research Square
Robot Manipulation and Learning
preprint

Virtual Contact Loop: Performance-Oriented Cartesian Impedance Synthesis for Robotic Manipulators

Changjun Li, Hu Shi, Xuesong Mei, Fei Zhao, Tao Tao
preprint en

Abstract

Abstract Cartesian impedance control is widely used to regulate physical interaction between robots and their environments. However, the configuration-dependent inertia and strong coupling of Cartesian dynamics make the systematic design of damping and stiffness matrices challenging. This paper proposes a performance-oriented Cartesian impedance synthesis method based on a virtual contact loop, termed VCL-IS. The virtual loop tracks the theoretical response of a desired impedance over a prescribed frequency range, converting impedance design into a weighted generalized-plant optimization problem. The synthesis objective combines weighted $\mathcal H_2$ and $\mathcal H_\infty$ performance with the negative spectral abscissa to balance compliance, aggregate robustness, and asymptotic convergence. Two- and six-dimensional simulations demonstrate that VCL-IS exploits dynamic coupling to achieve larger compliant displacements with low overshoot at comparable response speeds. The optimized damping and stiffness matrices exhibit interpretable modal relationships with the target bandwidth. For configuration-dependent inertia, a common quadratic Lyapunov analysis yields a sufficient admissible interval for time-varying modal frequencies, which is enforced in an SAC-based adaptation policy. Physical-robot experiments further show closer agreement between theoretical and measured six-dimensional responses than the baseline methods. These results support VCL-IS as an interpretable framework for performance-oriented synthesis and time-varying extension of coupled Cartesian impedance.

Research Square
Xi'an Jiaotong University (CN)
Robot Manipulation and Learning
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