Robotic grasping from classical to modern: A survey
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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