Singularity-free Twist Limit Constraints for the Ball Joint 47

Ball joints are commonly used in graphics and robotics in the simulation of articulated rigid body systems. The ball joint orientation can be decomposed, non-uniquely, into swing and twist components. In modeling with ball joints, it can be advantageous to include limit constraints on the swing, twist, or both. While many physics engines include such limit constraints, we have found that twist limit constraints, when present, are lacking in robustness, typically due to unhandled singularities in commonly employed swing-twist decompositions, where the twist state is undefined. In this paper, we introduce two novel, robust models of the ball joint twist limit constraint. The first utilizes the Euler angle decomposition of the orientation, which has two singularity points. To robustly handle the twist limit constraint, we propose a novel treatment at singularities based on the physical behavior of a three-hinge system. Thus, our model significantly reduces the dramatic motion that can occur around the singularities, eliminating the need to directly avoid them. Second, we introduce an alternative incremental model that avoids singularities altogether during simulations. In this model, the twist is quantified by integrating the instantaneous twist velocity in time, ensuring that the singularity shifts from one time step to the next and remains far from the current state. We investigate the properties of both proposed models. We demonstrate that both models offer robust and practical solutions to common issues encountered in constraining the motion of ball joints.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Published
2025-08-08
DOI
https://doi.org/10.1145/3747857
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Singularity-free Twist Limit Constraints for the Ball Joint 47

Yin-Chun Dai, Tamar Shinar, Mykhailo Potomkin
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Dynamics and Control of Mechanical Systems
article

Singularity-free Twist Limit Constraints for the Ball Joint 47

Yin-Chun Dai, Tamar Shinar, Mykhailo Potomkin
article en

Abstract

Ball joints are commonly used in graphics and robotics in the simulation of articulated rigid body systems. The ball joint orientation can be decomposed, non-uniquely, into swing and twist components. In modeling with ball joints, it can be advantageous to include limit constraints on the swing, twist, or both. While many physics engines include such limit constraints, we have found that twist limit constraints, when present, are lacking in robustness, typically due to unhandled singularities in commonly employed swing-twist decompositions, where the twist state is undefined. In this paper, we introduce two novel, robust models of the ball joint twist limit constraint. The first utilizes the Euler angle decomposition of the orientation, which has two singularity points. To robustly handle the twist limit constraint, we propose a novel treatment at singularities based on the physical behavior of a three-hinge system. Thus, our model significantly reduces the dramatic motion that can occur around the singularities, eliminating the need to directly avoid them. Second, we introduce an alternative incremental model that avoids singularities altogether during simulations. In this model, the twist is quantified by integrating the instantaneous twist velocity in time, ensuring that the singularity shifts from one time step to the next and remains far from the current state. We investigate the properties of both proposed models. We demonstrate that both models offer robust and practical solutions to common issues encountered in constraining the motion of ball joints.

Proceedings of the ACM on Computer Graphics and Interactive TechniquesVol. 8(4)
University of California, Riverside (US)
Sustainable cities and communities
Openalex Percentile: Top 75%
Dynamics and Control of Mechanical Systems
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.