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A Cross-Embodiment Gripper Benchmark for Rigid-Object Manipulation in Aerial and Industrial Robotics

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0003-4881-9341
cris.virtualsource.department47530ccc-659e-457a-9b3b-557ce3dd23e7
cris.virtualsource.orcid47530ccc-659e-457a-9b3b-557ce3dd23e7
dc.contributor.authorVagas, Marek
dc.contributor.authorVarga, Martin
dc.contributor.authorRomancik, Jaroslav
dc.contributor.authorMajercak, Ondrej
dc.contributor.authorSuarez, Alejandro
dc.contributor.authorOllero, Anibal
dc.contributor.authorVanderborght, Bram
dc.contributor.authorVirgala, Ivan
dc.date.accessioned2026-07-27T13:13:14Z
dc.date.available2026-07-27T13:13:14Z
dc.date.createdwos2026
dc.date.issued2026
dc.description.abstractRobotic grippers are increasingly deployed across industrial, collaborative, and aerial platforms, where each embodiment imposes distinct mechanical, energetic, and operational constraints. Established YCB and NIST benchmarks quantify grasp success, force, or timing on a single platform, but do not evaluate cross-embodiment transferability or energy-aware performance – essential for modern mobile and aerial manipulation. This letter introduces the Cross-Embodiment Gripper Benchmark (CEGB), a reproducible benchmarking suite extending YCB and selected NIST metrics with three additional components: a transfer-time benchmark measuring embodiment exchange effort, an energy-consumption benchmark evaluating grasping and holding efficiency, and an intent-specific ideal payload assessment. Together, these metrics characterize grasp performance and cross-platform suitability. CEGB is validated on two mechanically distinct grippers. The experimental evaluation quantifies embodiment-dependent differences in transfer time, energetic efficiency, and operational capability under unified statistical reporting. CEGB provides a reproducible foundation for cross-platform, energy-aware gripper evaluation.
dc.description.wosFundingTextThis work was supported in part by European ROBotics and AI Network (euROBIN) under Grant 101070596, Project funded by European Commission and in part by Slovak Grant Agency under Grant VEGA 1/0337/26 and Grant KEGA 008TUKE-4/2024.
dc.identifier.doi10.1109/lra.2026.3677707
dc.identifier.issn2377-3766
dc.identifier.issn2377-3774
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/59990
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage6194
dc.source.endpage6201
dc.source.issue5
dc.source.journalIEEE ROBOTICS AND AUTOMATION LETTERS
dc.source.numberofpages8
dc.source.volume11
dc.title

A Cross-Embodiment Gripper Benchmark for Rigid-Object Manipulation in Aerial and Industrial Robotics

dc.typeJournal article
dspace.entity.typePublication
imec.internal.crawledAt2026-03-26
imec.internal.sourcecrawler
imec.internal.wosCreatedAt2026-07-14
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