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03/29/2023
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
This paper introduces Amazon Robotic Manipulation Benchmark (ARMBench), ...
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05/29/2021
Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Tracking the 6D pose of objects in video sequences is important for robo...
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08/11/2020
Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses
Picking an item in the presence of other objects can be challenging as i...
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07/27/2020
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Tracking the 6D pose of objects in video sequences is important for robo...
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06/28/2020
Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
Recent progress in robotic manipulation has dealt with the case of previ...
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03/07/2020
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
Many manipulation tasks, such as placement or within-hand manipulation, ...
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10/11/2019
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
This paper introduces key machine learning operations that allow the rea...
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03/03/2019
Towards Robust Product Packing with a Minimalistic End-Effector
Advances in sensor technologies, object detection algorithms, planning f...
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06/25/2018
Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter
This paper focuses on vision-based pose estimation for multiple rigid ob...
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06/18/2018
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
This work proposes a process for efficiently training a point-wise objec...
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05/16/2018
Robust 6D Object Pose Estimation with Stochastic Congruent Sets
Object pose estimation is frequently achieved by first segmenting an RGB...
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10/24/2017
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search
This work proposes a process for efficiently searching over combinations...
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03/09/2017