Robotic grasping from classical to modern: A survey

H Zhang, J Tang, S Sun, X Lan - arXiv preprint arXiv:2202.03631, 2022 - arxiv.org
Robotic Grasping has always been an active topic in robotics since grasping is one of the
fundamental but most challenging skills of robots. It demands the coordination of robotic …

Regrad: A large-scale relational grasp dataset for safe and object-specific robotic grasping in clutter

H Zhang, D Yang, H Wang, B Zhao… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Despite the impressive progress achieved in robotic grasping, robots are not skilled in
sophisticated tasks (eg search and grasp a specified target in clutter). Such tasks involve not …

Multi-Step Object Extraction Planning From Clutter Based on Support Relations

T Motoda, D Petit, T Nishi, K Nagata, W Wan… - IEEE …, 2023 - ieeexplore.ieee.org
To automate operations in a logistic warehouse, a robot needs to extract items from the
clutter on a shelf without collapsing the clutter. To address this problem, this study proposes …

Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters

Y Li, R Wu, H Lu, C Ning, Y Shen, G Zhan… - arXiv preprint arXiv …, 2024 - arxiv.org
In our daily life, cluttered objects are everywhere, from scattered stationery and books
cluttering the table to bowls and plates filling the kitchen sink. Retrieving a target object from …

Towards One Shot & Pick All: 3D-OAS, an end-to-end framework for vision guided top-down parcel bin-picking using 3D-overlapping-aware instance segmentation …

Y Zhao, J Yang, S Wang, X Li - Robotics and Autonomous Systems, 2023 - Elsevier
Robotic Grasping and sorting is acknowledged as the most fundamental and significant
manipulation task in industry. An ultimate goal of a Vision guided Robotic grasping system is …

Improving Humanoid Grasp Success Rate based on Uncertainty-aware Metrics and Sensitivity Optimization

WJ Baek, C Pohl, P Pelcz, T Kröger… - 2022 IEEE-RAS 21st …, 2022 - ieeexplore.ieee.org
We present an approach for the selection of robot grasp candidates by treating specified
metrics in a probabilistic manner and maximizing the success rate through statistical …

[引用][C] Uncertainty Quantification and Sensitivity-based Optimization Methods for Robot Systems

WJ Baek