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Found 7 papers, 1 papers with code
Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-box Optimization
By using models that can compute the similarity between images and texts continuously over time, we can capture the state changes of food while cooking.
TrTr: Visual Tracking with Transformer
In this new architecture, features of the template image is processed by a self-attention module in the encoder part to learn strong context information, which is then sent to the decoder part to compute cross-attention with the search image features processed by another self-attention module.
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects
We present a robotic system for picking a target from a pile of objects that is capable of finding and grasping the target object by removing obstacles in the appropriate order.
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter
We present joint learning of instance and semantic segmentation for visible and occluded region masks.
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation
Probabilistic 3D map has been applied to object segmentation with multiple camera viewpoints, however, conventional methods lack of real-time efficiency and functionality of multilabel object mapping.
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
Picking objects in a narrow space such as shelf bins is an important task for humanoid to extract target object from environment.
Analysis and Observations from the First Amazon Picking Challenge
This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams.
Robotics
