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Found 11 papers, 1 papers with code
SynPick: A Dataset for Dynamic Bin Picking Scene Understanding
We present SynPick, a synthetic dataset for dynamic scene understanding in bin-picking scenarios.
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
Autonomous robotic manipulation in clutter is challenging.
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks
Object pose estimation is a crucial prerequisite for robots to perform autonomous manipulation in clutter.
Refining 6D Object Pose Predictions using Abstract Render-and-Compare
Vision as inverse graphics is a promising concept for detailed scene analysis.
Autonomous Dual-Arm Manipulation of Familiar Objects
The entire pipeline can be executed on-board and is suitable for on-line grasping scenarios.
Robotics
T6D-Direct: Transformers for Multi-Object 6D Pose Direct Regression
We evaluate the performance of our method on the YCB-Video dataset.
YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using Keypoint Regression
6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications.
ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Poses
Object pose estimation is a key perceptual capability in robotics.
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels
Using the generated pose labels, we train an ImplicitPDF model to estimate the likelihood of an orientation hypothesis given an RGB image.
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation
6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications.
Efficient Multi-Object Pose Estimation using Multi-Resolution Deformable Attention and Query Aggregation
Object pose estimation is a long-standing problem in computer vision.
