Search Results for author: Mikko Lauri

Found 14 papers, 7 papers with code

Teacher Network Calibration Improves Cross-Quality Knowledge Distillation

1 code implementation15 Apr 2023 Pia Čuk, Robin Senge, Mikko Lauri, Simone Frintrop

We investigate cross-quality knowledge distillation (CQKD), a knowledge distillation method where knowledge from a teacher network trained with full-resolution images is transferred to a student network that takes as input low-resolution images.

Image Classification Knowledge Distillation

Partially Observable Markov Decision Processes in Robotics: A Survey

no code implementations21 Sep 2022 Mikko Lauri, David Hsu, Joni Pajarinen

Noisy sensing, imperfect control, and environment changes are defining characteristics of many real-world robot tasks.

Autonomous Driving

Multi-agent active perception with prediction rewards

1 code implementation NeurIPS 2020 Mikko Lauri, Frans A. Oliehoek

The accuracy is quantified by a centralized prediction reward determined by a centralized decision-maker who perceives the observations gathered by all agents after the task ends.

Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization

no code implementations4 Jul 2020 Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop

We consider the problem of creating a 3D model using depth images captured by a team of multiple robots.

6D Object Pose Regression via Supervised Learning on Point Clouds

1 code implementation24 Jan 2020 Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop

We use depth information represented by point clouds as the input to both deep networks and geometry-based pose refinement and use separate networks for rotation and translation regression.

Object regression +1

Information Gathering in Decentralized POMDPs by Policy Graph Improvement

1 code implementation26 Feb 2019 Mikko Lauri, Joni Pajarinen, Jan Peters

Decentralized policies for information gathering are required when multiple autonomous agents are deployed to collect data about a phenomenon of interest without the ability to communicate.

Decision Making

Multi-label Object Attribute Classification using a Convolutional Neural Network

no code implementations10 Nov 2018 Soubarna Banik, Mikko Lauri, Simone Frintrop

With this inspiration, a deep convolutional neural network for low-level object attribute classification, called the Deep Attribute Network (DAN), is proposed.

Attribute General Classification +2

Occlusion Resistant Object Rotation Regression from Point Cloud Segments

no code implementations16 Aug 2018 Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop

Rotation estimation of known rigid objects is important for robotic applications such as dexterous manipulation.

Object regression

Saliency-guided Adaptive Seeding for Supervoxel Segmentation

no code implementations13 Apr 2017 Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop

We propose a new saliency-guided method for generating supervoxels in 3D space.


Object proposal generation applying the distance dependent Chinese restaurant process

1 code implementation12 Apr 2017 Mikko Lauri, Simone Frintrop

In application domains such as robotics, it is useful to represent the uncertainty related to the robot's belief about the state of its environment.

Bayesian Inference Object +2

Multi-Robot Active Information Gathering with Periodic Communication

no code implementations7 Mar 2017 Mikko Lauri, Eero Heinänen, Simone Frintrop

We address the problem of coordinating the actions of a team of robots with periodic communication capability executing an information gathering task.

Decision Making

Planning for robotic exploration based on forward simulation

1 code implementation9 Feb 2015 Mikko Lauri, Risto Ritala

We address the problem of controlling a mobile robot to explore a partially known environment.

Robotics Systems and Control 90C40

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