Quantitative Evaluation of Thumb Degrees of Freedom Relevance in Anthropomorphic Robot Hands
Thumb degree-of-freedom (DOF) allocation in anthropomorphic robot hands involves a trade-off between functional mobility and mechanical-control complexity. This study presents a controlled multi-metric framework for comparing recurring thumb DOF configurations under common palm geometry, non-thumb finger structure, reference frames, Denavit–Hartenberg kinematics, and sampling assumptions. Five literature-derived thumb configurations, namely 3-1-1, 2-2-1, 2-1-1, 2-0-1, and 1-1-1, were evaluated to determine which thumb DOFs should be preserved when kinematic complexity is reduced. The theoretical evaluation included Kapandji Opposition Test reachability, opposition alignment, workspace volume, workspace compactness, cylindrical grasp opportunity, and Jacobian-based dexterity. A targeted experimental validation of the 2-1-1 and 2-0-1 prototypes was then performed on a tendon-driven test bench. The results showed that qualitatively similar thumb configurations are quantitatively unequal: several designs achieved identical Kapandji scores but differed substantially in workspace, alignment, dexterity, and grasp feasibility. Overall, 3-1-1 achieved the strongest overall capability, while 2-2-1 emerged as the strongest reduced-complexity alternative and achieved the best mean dexterity. Retaining two active carpometacarpal DOFs preserved a large share of dexterous function, whereas metacarpophalangeal fixation maintained selected cylindrical grasps but narrowed the feasible task boundary.
Authors
- Omar Farooq (ORCID: https://orcid.org/0000-0002-4648-2733)
- Daniel Gossen (ORCID: https://orcid.org/0000-0001-6843-0347)
- Shubhankar Riswadkar (ORCID: https://orcid.org/0009-0001-3163-8301)
- Alexander Brezing
- Mathias Hüsing (ORCID: https://orcid.org/0000-0002-8949-0215)
- Burkhard Corves (ORCID: https://orcid.org/0000-0003-1824-3433)
- Sebastian Polzin (ORCID: https://orcid.org/0009-0009-4806-5229)
Institutions
- King Mongkut's University of Technology North Bangkok (TH)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Robotics
- Published
- 2026-05-21
- DOI
- https://doi.org/10.3390/robotics15050101
- Primary Topic
- Motor Control and Adaptation
- Type
- article
- Field-Weighted Citation Impact
- 0.00