Machine Learning for Robotics https://srl.cit.tum.de/2026-04-09T10:22:05+00:00FeedCreator 1.8 (info@mypapit.net)Awards2023-04-05T14:59:50+00:002023-04-05T14:59:50+00:00https://srl.cit.tum.de/awards?rev=1680699590&do=diffAnonymousanonymous@undisclosed.example.comAwards
* BMVC 2022 best student paper "Event-based Non-Rigid Reconstruction from Contours" by Yuxuan Xue, Haolong Li, Stefan Leutenegger and Joerg Stueckler
* Winner of the visual-inertial track of the 2nd HILTI-SLAM challenge (S. Leutenegger, 2022)
* RA-L 2021 best paper honourable mention for "Deep probabilistic feature-metric tracking" by B. Xu, A. J. Davison, and S. LeuteneggerAwards
* BMVC 2022 best student paper "Event-based Non-Rigid Reconstruction from Contours" by Yuxuan Xue, Haolong Li, Stefan Leutenegger and Joerg Stueckler
* Winner of the visual-inertial track of the 2nd HILTI-SLAM challenge (S. Leutenegger, 2022)
* RA-L 2021 best paper honourable mention for "Deep probabilistic feature-metric tracking" by B. Xu, A. J. Davison, and S. LeuteneggerSmart Robotics Lab2025-07-11T09:56:19+00:002025-07-11T09:56:19+00:00https://srl.cit.tum.de/home?rev=1752220579&do=diffAnonymousanonymous@undisclosed.example.comSmart Robotics Lab
The Smart Robotics Lab (SRL) focuses on enabling technologies for mobile robots operating in a potentially unknown environment. This includes localisation (without infrastructure such as GPS), mapping, and 3D scene understanding with a suite of sensors, most importantly cameras. Respective algorithms ranging from computer vision and machine learning to motion planning and control need to be processed efficiently on-board to yield accurate results in real-time. The aim is to…Smart Robotics Lab
The Smart Robotics Lab (SRL) focuses on enabling technologies for mobile robots operating in a potentially unknown environment. This includes localisation (without infrastructure such as GPS), mapping, and 3D scene understanding with a suite of sensors, most importantly cameras. Respective algorithms ranging from computer vision and machine learning to motion planning and control need to be processed efficiently on-board to yield accurate results in real-time. The aim is to…memberpage2021-11-09T13:02:17+00:002021-11-09T13:02:17+00:00https://srl.cit.tum.de/memberpage?rev=1636459337&do=diffAnonymousanonymous@undisclosed.example.comno summarySRL Team Members2025-10-17T17:57:31+00:002025-10-17T17:57:31+00:00https://srl.cit.tum.de/members?rev=1760716651&do=diffAnonymousanonymous@undisclosed.example.comSRL Team Members
SRL Alumni
* Dr. Sotiris Papatheodorou,
* Dr. Chris Choi, now Computer Vision Engineer at Niantic Spatial
* Dr. Xingxing Zuo, now Assistant Professor at MBZUAI
* Dr. Dorian Henning, now Applied Scientist at Amazon
* Dr. Nils Funk, now Robotics Engineer at All3
* Dr. Binbin Xu, now Research Scientist at Huawei Noah's Ark LabSRL Team Members
SRL Alumni
* Dr. Sotiris Papatheodorou,
* Dr. Chris Choi, now Computer Vision Engineer at Niantic Spatial
* Dr. Xingxing Zuo, now Assistant Professor at MBZUAI
* Dr. Dorian Henning, now Applied Scientist at Amazon
* Dr. Nils Funk, now Robotics Engineer at All3
* Dr. Binbin Xu, now Research Scientist at Huawei Noah's Ark LabNews2025-10-13T13:09:26+00:002025-10-13T13:09:26+00:00https://srl.cit.tum.de/news?rev=1760353766&do=diffAnonymousanonymous@undisclosed.example.comNews
01/10/2025: Anran Zhang joining MRL@TUM
Welcome, Anran, who is starting as a PhD student at the lab!
19/07/2024: RSS`24 Workshop
We held a workshop, "Navigation & Mobile Manipulation in Challenging and Cluttered Natural Environments" in Delft, Netherlands during RSS 2024. As a part of the EU-funded DigiForest project, the workshop topic includes robots in natural environments and their applications to environmental monitoring, forestry, and precision agriculture.News
01/10/2025: Anran Zhang joining MRL@TUM
Welcome, Anran, who is starting as a PhD student at the lab!
19/07/2024: RSS`24 Workshop
We held a workshop, "Navigation & Mobile Manipulation in Challenging and Cluttered Natural Environments" in Delft, Netherlands during RSS 2024. As a part of the EU-funded DigiForest project, the workshop topic includes robots in natural environments and their applications to environmental monitoring, forestry, and precision agriculture.Publications2022-07-25T09:54:55+00:002022-07-25T09:54:55+00:00https://srl.cit.tum.de/publications?rev=1658735695&do=diffAnonymousanonymous@undisclosed.example.comPublications
See also Google Scholar.Publications
See also Google Scholar.Research Areas2023-10-12T15:54:49+00:002023-10-12T15:54:49+00:00https://srl.cit.tum.de/research?rev=1697118889&do=diffAnonymousanonymous@undisclosed.example.comResearch Areas
Multi-Sensor Slam
Integration of complementary sensing modalities has been a popular choice enabling highly robust and accurate robot state estimation and mapping. In particular, Inertial Measurement Units (IMUs) have become smaller and cheaper and are present in most of today's mobile devices. Various use-cases combining an IMU with GPS, odometry, magnetic compasses and also visual correspondences have been suggested and will continue to be researched upon, forming the backbo…Research Areas
Multi-Sensor Slam
Integration of complementary sensing modalities has been a popular choice enabling highly robust and accurate robot state estimation and mapping. In particular, Inertial Measurement Units (IMUs) have become smaller and cheaper and are present in most of today's mobile devices. Various use-cases combining an IMU with GPS, odometry, magnetic compasses and also visual correspondences have been suggested and will continue to be researched upon, forming the backbo…Software & Datasets2022-07-22T17:39:51+00:002022-07-22T17:39:51+00:00https://srl.cit.tum.de/swdatasets?rev=1658504391&do=diffAnonymousanonymous@undisclosed.example.comSoftware & Datasets
Supereight (Imperial College)
We release our reference implementation of Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping (see publications below) under the BSD 3-clause license:
See <https://bitbucket.org/smartroboticslab/supereight-public>Software & Datasets
Supereight (Imperial College)
We release our reference implementation of Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping (see publications below) under the BSD 3-clause license:
See <https://bitbucket.org/smartroboticslab/supereight-public>Teaching2024-05-24T11:23:56+00:002024-05-24T11:23:56+00:00https://srl.cit.tum.de/teaching?rev=1716542636&do=diffAnonymousanonymous@undisclosed.example.comno summaryWorkshops & Tutorials2021-02-27T13:44:33+00:002021-02-27T13:44:33+00:00https://srl.cit.tum.de/workshops?rev=1614429873&do=diffAnonymousanonymous@undisclosed.example.comWorkshops & Tutorials
Past Workshops
The Future of Real-Time SLAM: Sensors, Processors, Representations, and Algorithms (ICCV'16)
Workshop website: <https://wp.doc.ic.ac.uk/thefutureofslam/>
Real-time visual Simultaneous Localisation And Mapping (SLAM) has evolved rapidly in the past few years (see figures below for some history), and increasingly drawn the interest of industry for mass-market applications such as consumer robotics, Augmented or Virtual Reality (AR/VR) and mobile devices. Me…Workshops & Tutorials
Past Workshops
The Future of Real-Time SLAM: Sensors, Processors, Representations, and Algorithms (ICCV'16)
Workshop website: <https://wp.doc.ic.ac.uk/thefutureofslam/>
Real-time visual Simultaneous Localisation And Mapping (SLAM) has evolved rapidly in the past few years (see figures below for some history), and increasingly drawn the interest of industry for mass-market applications such as consumer robotics, Augmented or Virtual Reality (AR/VR) and mobile devices. Me…