Wolfram Burgard

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University of Freiburg

Professor at University of Freiburg

Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics

We present a convolutional neural network for joint 3D shape prediction ...
10/17/2019 ∙ by Oier Mees, et al. ∙ 27 ∙ share

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Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video

Key challenges for the deployment of reinforcement learning (RL) agents ...
10/21/2019 ∙ by Oier Mees, et al. ∙ 23 ∙ share

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Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control

We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for...
10/17/2019 ∙ by Lukas Hermann, et al. ∙ 22 ∙ share

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HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images

The majority of learning-based semantic segmentation methods are optimiz...
03/10/2020 ∙ by Johan Vertens, et al. ∙ 16 ∙ share

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An Analytical Lidar Sensor Model Based on Ray Path Information

Two core competencies of a mobile robot are to build a map of the enviro...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 15 ∙ share

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Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction

Instance segmentation of unknown objects from images is regarded as rele...
05/19/2020 ∙ by Andreas Eitel, et al. ∙ 15 ∙ share

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Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Traffic signal controllers play an essential role in the traffic system,...
03/09/2020 ∙ by Shengchao Yan, et al. ∙ 14 ∙ share

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A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans

Whether it is object detection, model reconstruction, laser odometry, or...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 13 ∙ share

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Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network

Indoor localization is one of the crucial enablers for deployment of ser...
03/05/2019 ∙ by Federico Boniardi, et al. ∙ 12 ∙ share

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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Exploration in sparse reward reinforcement learning remains a difficult ...
03/18/2019 ∙ by Jingwei Zhang, et al. ∙ 12 ∙ share

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Learning User Preferences for Trajectories from Brain Signals

Robot motions in the presence of humans should not only be feasible and ...
09/03/2019 ∙ by Henrich Kolkhorst, et al. ∙ 12 ∙ share

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DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform

Most robot mapping techniques for lidar sensors tessellate the environme...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 11 ∙ share

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Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans

Due to their ubiquity and long-term stability, pole-like objects are wel...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 10 ∙ share

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Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning

Mobile robots operating in unknown urban environments encounter a wide r...
12/06/2019 ∙ by Jannik Zürn, et al. ∙ 9 ∙ share

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SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization

Deep neural networks (DNNs) have been proven to outperform classical met...
02/19/2020 ∙ by Lukas Enderich, et al. ∙ 9 ∙ share

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Learning a Local Feature Descriptor for 3D LiDAR Scans

Robust data association is necessary for virtually every SLAM system and...
09/20/2018 ∙ by Ayush Dewan, et al. ∙ 8 ∙ share

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Learning Object Placements For Relational Instructions by Hallucinating Scene Representations

Robots coexisting with humans in their environment and performing servic...
01/23/2020 ∙ by Oier Mees, et al. ∙ 7 ∙ share

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Learning Multimodal Fixed-Point Weights using Gradient Descent

Due to their high computational complexity, deep neural networks are sti...
07/16/2019 ∙ by Lukas Enderich, et al. ∙ 4 ∙ share

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Intracranial Error Detection via Deep Learning

Deep learning techniques have revolutionized the field of machine learni...
05/04/2018 ∙ by Martin Völker, et al. ∙ 2 ∙ share

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Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-savin...
06/04/2019 ∙ by Mayank Mittal, et al. ∙ 1 ∙ share

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DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans

Understanding the semantic characteristics of the environment is a key e...
06/17/2019 ∙ by Ayush Dewan, et al. ∙ 1 ∙ share

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Learning to Singulate Objects using a Push Proposal Network

A key challenge for manipulation in unstructured environments is action ...
07/25/2017 ∙ by Andreas Eitel, et al. ∙ 0 ∙ share

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Deep learning with convolutional neural networks for EEG decoding and visualization

A revised version of this article is now available at Human Brain Mappin...
03/15/2017 ∙ by Robin Tibor Schirrmeister, et al. ∙ 0 ∙ share

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Neural SLAM: Learning to Explore with External Memory

We present an approach for agents to learn representations of a global m...
06/29/2017 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields

Agricultural robots are expected to increase yields in a sustainable way...
09/14/2017 ∙ by Florian Kraemer, et al. ∙ 0 ∙ share

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Deep Detection of People and their Mobility Aids for a Hospital Robot

Robots operating in populated environments encounter many different type...
08/02/2017 ∙ by Andres Vasquez, et al. ∙ 0 ∙ share

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Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills

As autonomous service robots become more affordable and thus available a...
07/20/2017 ∙ by Felix Burget, et al. ∙ 0 ∙ share

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Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

Object detection is an essential task for autonomous robots operating in...
07/18/2017 ∙ by Oier Mees, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

In this paper we consider the problem of robot navigation in simple maze...
12/16/2016 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning

To operate intelligently in domestic environments, robots require the ab...
07/04/2017 ∙ by Philipp Jund, et al. ∙ 0 ∙ share

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Topometric Localization with Deep Learning

Compared to LiDAR-based localization methods, which provide high accurac...
06/27/2017 ∙ by Gabriel L. Oliveira, et al. ∙ 0 ∙ share

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Deep Semantic Classification for 3D LiDAR Data

Robots are expected to operate autonomously in dynamic environments. Und...
06/26/2017 ∙ by Ayush Dewan, et al. ∙ 0 ∙ share

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Monte Carlo Localization in Hand-Drawn Maps

Robot localization is a one of the most important problems in robotics. ...
04/02/2015 ∙ by Bahram Behzadian, et al. ∙ 0 ∙ share

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Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics

Inverse Reinforcement Learning (IRL) describes the problem of learning a...
04/13/2016 ∙ by Michael Herman, et al. ∙ 0 ∙ share

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The Freiburg Groceries Dataset

With the increasing performance of machine learning techniques in the la...
11/17/2016 ∙ by Philipp Jund, et al. ∙ 0 ∙ share

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Multimodal Deep Learning for Robust RGB-D Object Recognition

Robust object recognition is a crucial ingredient of many, if not all, r...
07/24/2015 ∙ by Andreas Eitel, et al. ∙ 0 ∙ share

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Metric Localization using Google Street View

Accurate metrical localization is one of the central challenges in mobil...
03/14/2015 ∙ by Pratik Agarwal, et al. ∙ 0 ∙ share

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Fast and Robust Feature Matching for RGB-D Based Localization

In this paper we present a novel approach to global localization using a...
02/02/2015 ∙ by Miguel Heredia, et al. ∙ 0 ∙ share

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Socially-compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning

We present an approach for mobile robots to learn to navigate in pedestr...
10/06/2017 ∙ by Lei Tai, et al. ∙ 0 ∙ share

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Brain Responses During Robot-Error Observation

Brain-controlled robots are a promising new type of assistive device for...
08/04/2017 ∙ by Dominik Welke, et al. ∙ 0 ∙ share

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Deep Transfer Learning for Error Decoding from Non-Invasive EEG

We recorded high-density EEG in a flanker task experiment (31 subjects) ...
10/25/2017 ∙ by Martin Völker, et al. ∙ 0 ∙ share

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3D Human Pose Estimation in RGBD Images for Robotic Task Learning

We propose an approach to estimate 3D human pose in real world units fro...
03/07/2018 ∙ by Christian Zimmermann, et al. ∙ 0 ∙ share

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VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control

This paper deals with the reality gap from a novel perspective, targetin...
02/01/2018 ∙ by Jingwei Zhang, et al. ∙ 0 ∙ share

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The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks

The importance of robotic assistive devices grows in our work and everyd...
11/16/2017 ∙ by Joos Behncke, et al. ∙ 0 ∙ share

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VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry

Visual localization is one of the fundamental enablers of robot autonomy...
04/23/2018 ∙ by Noha Radwan, et al. ∙ 0 ∙ share

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Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

This paper investigates exploration strategies of Deep Reinforcement Lea...
04/02/2018 ∙ by Oleksii Zhelo, et al. ∙ 0 ∙ share

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Deep Auxiliary Learning for Visual Localization and Odometry

Localization is an indispensable component of a robot's autonomy stack t...
03/09/2018 ∙ by Abhinav Valada, et al. ∙ 0 ∙ share

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The Limits and Potentials of Deep Learning for Robotics

The application of deep learning in robotics leads to very specific prob...
04/18/2018 ∙ by Niko Sünderhauf, et al. ∙ 0 ∙ share

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The role of robot design in decoding error-related information from EEG signals of a human observer

For utilization of robotic assistive devices in everyday life, means for...
07/04/2018 ∙ by Joos Behncke, et al. ∙ 0 ∙ share

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Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding

When it comes to the classification of brain signals in real-life applic...
06/20/2018 ∙ by Joos Behncke, et al. ∙ 0 ∙ share

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Wolfram Burgard

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