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04/15/2023
Teacher Network Calibration Improves Cross-Quality Knowledge Distillation
We investigate cross-quality knowledge distillation (CQKD), a knowledge ...
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09/21/2022
Partially Observable Markov Decision Processes in Robotics: A Survey
Noisy sensing, imperfect control, and environment changes are defining c...
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03/02/2021
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
It is often desired to train 6D pose estimation systems on synthetic dat...
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10/22/2020
Multi-agent active perception with prediction rewards
Multi-agent active perception is a task where a team of agents cooperati...
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07/04/2020
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization
3D scene models are useful in robotics for tasks such as path planning, ...
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01/24/2020
6D Object Pose Regression via Supervised Learning on Point Clouds
This paper addresses the task of estimating the 6 degrees of freedom pos...
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02/26/2019
Information Gathering in Decentralized POMDPs by Policy Graph Improvement
Decentralized policies for information gathering are required when multi...
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11/10/2018
Multi-label Object Attribute Classification using a Convolutional Neural Network
Objects of different classes can be described using a limited number of ...
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08/16/2018
Occlusion Resistant Object Rotation Regression from Point Cloud Segments
Rotation estimation of known rigid objects is important for robotic appl...
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03/15/2016