GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArk
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Abstract (arXiv)
The use of benchmarks is a widespread and scientifically meaningful practice to validate performance of different approaches to the same task. In the context of robot grasping the use of common object sets has emerged in recent years, however no dominant protocols and metrics to test grasping pipelines have taken root yet. In this paper, we present version 1.0 of GRASPA, a benchmark to test effectiveness of grasping pipelines on physical robot setups. This approach tackles the complexity of such pipelines by proposing different metrics that account for the features and limits of the test platform. As an example application, we deploy GRASPA on the iCub humanoid robot and use it to benchmark our grasping pipeline. As closing remarks, we discuss how the GRASPA indicators we obtained as outcome can provide insight into how different steps of the pipeline affect the overall grasping performance.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Feb 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 2.
5 papers.
- 2023FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulationcited by 132
- 2021Research Challenges and Progress in Robotic Grasping and Manipulation Competitionscited by 9
- 2023SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenescited by 9
- 2025Distracted Robot: How Visual Clutter Undermine Robotic Manipulationcited by 5
- 2025SCOPE: Semantic Conditioning for Sim2Real Category-Level Object Pose Estimation in Roboticscited by 0
- 2025Distracted Robot: How Visual Clutter Undermine Robotic Manipulation27 Nov 2025
- 2025SCOPE: Semantic Conditioning for Sim2Real Category-Level Object Pose Estimation in Robotics29 Sep 2025
- 2023SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes27 Jun 2023
- 2023FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation22 May 2023
- 2021Research Challenges and Progress in Robotic Grasping and Manipulation Competitions3 Aug 2021