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Visual manipulation relationship detection based on gated graph neural network for robotic gras**
M Ding, Y Liu, C Yang, X Lan - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Exploring the relationship among objects and giving the correct operation sequence is vital
for robotic manipulation. However, most previous algorithms only model the relationship …
for robotic manipulation. However, most previous algorithms only model the relationship …
Prioritized planning for target-oriented manipulation via hierarchical stacking relationship prediction
In scenarios involving gras** multiple targets, the learning of stacking relationships
between objects is fundamental for robots to execute safely and efficiently. However, current …
between objects is fundamental for robots to execute safely and efficiently. However, current …
Grasp Manipulation Relationship Detection based on Graph Sample and Aggregation
In multi-object stacking scenarios, exploring the relationships among objects and
determining the correct sequence of operations are crucial for robotic manipulation …
determining the correct sequence of operations are crucial for robotic manipulation …
Relationship detection for manipulation in object stacking scene with fully connected CRF
M Ding, C Yang, J Liu, X Lan, N Zheng - Neurocomputing, 2025 - Elsevier
Relationship detection for manipulation in object stacking scenes is an actively studied
problem in recent years. Since the stacked objects may occlude and block each other, it is …
problem in recent years. Since the stacked objects may occlude and block each other, it is …
A Modern Take on Visual Relationship Reasoning for Grasp Planning
Interacting with real-world cluttered scenes poses several challenges to robotic agents that
need to understand complex spatial dependencies among the observed objects to …
need to understand complex spatial dependencies among the observed objects to …
Probabilistic representation of objects and their support relations
Understanding uncertainty about objects and their relations in a scene is essential for action
selection in robotics. We propose a novel approach for a probabilistic representation of …
selection in robotics. We propose a novel approach for a probabilistic representation of …
Gated Self Attention Network for Efficient Gras** of Target Objects in Stacked Scenarios
Y Wang, Y Gong, J Wu, Z ** in stacked scenarios is an indispensable capability for intelligent robots. However,
in the context of multi-object stacking or occluded scenes, existing algorithms for direct target …
in the context of multi-object stacking or occluded scenes, existing algorithms for direct target …