Research Challenges and Progress in Robotic Grasping and Manipulation Competitions
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Abstract (arXiv)
This paper discusses recent research progress in robotic grasping and manipulation in the light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We first provide an overview of past benchmarks and competitions related to the robotics manipulation field. Then, we discuss the methodology behind designing the manipulation tasks in RGMCs. We provide a detailed analysis of key challenges for each task and identify the most difficult aspects based on the competing teams' performance in recent years. We believe that such an analysis is insightful to determine the future research directions for the robotic manipulation domain.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 8 of its 52 references that are in the map. First posted on arXiv 3 Aug 2021.
Builds on
8 of 52 references.
References · 8
- 2018YouTube-VOS: Sequence-to-Sequence Video Object Segmentationcited by 228
- 2021OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulationcited by 24
- 2020YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose Estimationcited by 12
- 2016The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Researchcited by 11
- 2020Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalizationcited by 9
- 2020Benchmarking In-Hand Manipulationcited by 6
- 2020GRASPA 1.0: GRASPA is a Robot Arm graSping Performance benchmArkcited by 5
- 2019Robotic Materialscited by 1
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Citing papers per year: 2021: 1; 2022: 1; 2023: 3; 2024: 3; 2025: 0; 2026: 1.
9 papers.
- 2023RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitationcited by 88
- 2023Train Offline, Test Online: A Real Robot Learning Benchmarkcited by 47
- 2024GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Taskscited by 9
- 2021Multi-Object Grasping -- Estimating the Number of Objects in a Robotic Graspcited by 5
- 2022One-shot Learning for Autonomous Aerial Manipulationcited by 2
- 2024Language-driven Grasp Detection with Mask-guided Attentioncited by 2
- 2026PhAIL: A Real-Robot VLA Benchmark and Distributional Methodologycited by 2
- 2023Robot Grasping and Manipulation: A Prospectivecited by 0
- 2024Counting Objects in a Robotic Handcited by 0
- 2026PhAIL: A Real-Robot VLA Benchmark and Distributional Methodology28 May 2026
- 2024Language-driven Grasp Detection with Mask-guided Attention29 Jul 2024
- 2024GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks9 Apr 2024
- 2024Counting Objects in a Robotic Hand9 Apr 2024
- 2023RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation30 Aug 2023
- 2023Train Offline, Test Online: A Real Robot Learning Benchmark1 Jun 2023
- 2023Robot Grasping and Manipulation: A Prospective14 Mar 2023
- 2022One-shot Learning for Autonomous Aerial Manipulation3 Jun 2022
- 2021Multi-Object Grasping -- Estimating the Number of Objects in a Robotic Grasp30 Nov 2021