A QUBO Formulation Framework for Kinematic Structure-Based Robot Design Optimization: A Robotic Hand Case Study
This paper presents a QUBO-based framework for robot design optimization using kinematic structure-level metrics. It combines classical computation with quantum annealing, using a robotic hand as a case study. The framework incorporates individual rewards, workspace interactions, one-hot constraints, and dependency penalties into a unified quadratic model. Simulated and quantum annealing verify feasibility, yielding valid design combinations.
[2605.15510] A QUBO Formulation Framework for Kinematic Structure-Based Robot Design Optimization: A Robotic Hand Case Study
[Submitted on 15 May 2026]
Title:A QUBO Formulation Framework for Kinematic Structure-Based Robot Design Optimization: A Robotic Hand Case Study
View a PDF of the paper titled A QUBO Formulation Framework for Kinematic Structure-Based Robot Design Optimization: A Robotic Hand Case Study, by HyoJae Kang and 3 other authors
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Abstract:This paper presents a quadratic unconstrained binary optimization-based formulation framework for robot design optimization using kinematic structure-level evaluation metrics. In the proposed framework, classical computation is used to evaluate design-dependent metrics while the resulting combinatorial selection problem is formulated in a structure compatible with quantum annealing-based optimization. A robotic hand is adopted as a representative case study, as its performance is determined by both the individual kinematic characteristics of each finger and interaction terms. The proposed formulation incorporates individual design rewards, overlap workspace interactions, one-hot constraint, and structural dependency penalties into a unified quadratic model. A 27-variable robotic hand design problem is constructed, and simulated annealing is used as a classical baseline to verify the feasibility of the formulation. Quantum annealing is further performed to examine the applicability of the proposed formulation to annealing-based hardware execution. The results show that feasible design combinations satisfying both one-hot selection and pairwise constraints can be obtained, with the observed objective-value range becoming narrower as the number of reads increases. In addition, the formulation process is discussed for other robotic systems. The proposed framework provides a generalized approach for transforming kinematic structure-based robot design problems into combinatorial optimization problems.
Comments: This manuscript has been submitted for possible publication. 14 pages, 5 figures
Subjects:
Robotics (cs.RO)
Cite as: arXiv:2605.15510 [cs.RO]
(or arXiv:2605.15510v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2605.15510
arXiv-issued DOI via DataCite (pending registration)
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From: HyoJae Kang [view email] [v1] Fri, 15 May 2026 01:09:42 UTC (840 KB)
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