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09/21/2023
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers
As robotic systems increasingly encounter complex and unconstrained real...
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07/28/2023
TrackAgent: 6D Object Tracking via Reinforcement Learning
Tracking an object's 6D pose, while either the object itself or the obse...
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07/22/2023
Challenges for Monocular 6D Object Pose Estimation in Robotics
Object pose estimation is a core perception task that enables, for examp...
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05/31/2023
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects
Object pose estimation is important for object manipulation and scene un...
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02/23/2023
Open Challenges for Monocular Single-shot 6D Object Pose Estimation
Object pose estimation is a non-trivial task that enables robotic manipu...
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11/15/2022
Grasping the Inconspicuous
Transparent objects are common in day-to-day life and hence find many ap...
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08/18/2022
COPE: End-to-end trainable Constant Runtime Object Pose Estimation
State-of-the-art object pose estimation handles multiple instances in a ...
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05/27/2022
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World
This paper presents BURG-Toolkit, a set of open-source tools for Benchma...
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01/01/2022
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
Observational noise, inaccurate segmentation and ambiguity due to symmet...
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10/12/2021
Event-Based high-speed low-latency fiducial marker tracking
Motion and dynamic environments, especially under challenging lighting c...
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04/23/2021
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Synthetic data generation has become essential in last years for feeding...
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04/12/2021
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings
Assistive multi-armed bandit problems can be used to model team situatio...
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03/28/2021
ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning
Point cloud registration is a common step in many 3D computer vision tas...
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03/10/2021
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme
While object semantic understanding is essential for most service roboti...
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10/30/2020
PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift
Object pose estimation enables robots to understand and interact with th...
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05/07/2020
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images
Recent methods for 6D pose estimation of objects assume either textured ...
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04/21/2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Unsupervised Domain Adaptation (DA) exploits the supervision of a label-...
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02/24/2020
Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber
This paper presents the perception system of a new professional cleaning...
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01/15/2020
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
This article presents a method for grasping novel objects by learning fr...
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10/28/2019
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Object classification with 3D data is an essential component of any scen...
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09/12/2019
VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement
Precise object pose estimation for robotics applications and augmented r...
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08/20/2019
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
Estimating the 6D pose of objects using only RGB images remains challeng...
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02/05/2019
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets
Developing robot perception systems for recognizing objects in the real-...
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06/05/2018
Recurrent Convolutional Fusion for RGB-D Object Recognition
Providing machines with the ability to recognize objects like humans has...
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04/20/2018
High Dynamic Range SLAM with Map-Aware Exposure Time Control
The research in dense online 3D mapping is mostly focused on the geometr...
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09/18/2017
Recognizing Objects In-the-wild: Where Do We Stand?
The ability to recognize objects is an essential skill for a robotic sys...
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05/26/2015
Using Dimension Reduction to Improve the Classification of High-dimensional Data
In this work we show that the classification performance of high-dimensi...
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04/23/2014
