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Found 8 papers, 3 papers with code
Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge
We focus on the generalization ability of the 6-DoF grasp detection method in this paper.
Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation
This paper focuses on the sim-to-real issue of RGB-D grasp detection and formulates it as a domain adaptation problem.
Towards Generalizable Referring Image Segmentation via Target Prompt and Visual Coherence
Referring image segmentation (RIS) aims to segment objects in an image conditioning on free-from text descriptions.
Covert Planning against Imperfect Observers
This paper studies how covert planning can leverage the coupling of stochastic dynamics and the observer's imperfect observation to achieve optimal task performance without being detected.
RGB-D Grasp Detection via Depth Guided Learning with Cross-modal Attention
Planar grasp detection is one of the most fundamental tasks to robotic manipulation, and the recent progress of consumer-grade RGB-D sensors enables delivering more comprehensive features from both the texture and shape modalities.
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes
Moreover, a Scale Balanced Learning (SBL) loss and an Object Balanced Sampling (OBS) strategy are designed, where SBL enlarges the gradients of the samples whose scales are in low frequency by apriori weights while OBS captures more points on small-scale objects with the help of an auxiliary segmentation network.
Ranked #2 on
Robotic Grasping
on GraspNet-1Billion
Boundary Guided Context Aggregation for Semantic Segmentation
The recent studies on semantic segmentation are starting to notice the significance of the boundary information, where most approaches see boundaries as the supplement of semantic details.
Attention-Based Planning with Active Perception
By switching between different attention modes, the robot actively perceives task-relevant information to reduce the cost of information acquisition and processing, while achieving near-optimal task performance.
