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+/*!
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+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2022 Fonticons, Inc.
+ */
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diff --git a/assets/css/fontawesome.min.css b/assets/css/fontawesome.min.css
new file mode 100644
index 0000000..b16f0a0
--- /dev/null
+++ b/assets/css/fontawesome.min.css
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+/*!
+ * Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2022 Fonticons, Inc.
+ */
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diff --git a/assets/css/fontawesome.solid.min.css b/assets/css/fontawesome.solid.min.css
new file mode 100644
index 0000000..793fd43
--- /dev/null
+++ b/assets/css/fontawesome.solid.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.1.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2022 Fonticons, Inc.
+ */
+:host,:root{--fa-font-solid:normal 900 1em/1 "Font Awesome 6 Free"}@font-face{font-family:"Font Awesome 6 Free";font-style:normal;font-weight:900;font-display:block;src:url(../webfonts/fa-solid-900.woff2) format("woff2"),url(../webfonts/fa-solid-900.ttf) format("truetype")}.fa-solid,.fas{font-family:"Font Awesome 6 Free";font-weight:900}
\ No newline at end of file
diff --git a/assets/css/main.css b/assets/css/main.css
new file mode 100644
index 0000000..69aa699
--- /dev/null
+++ b/assets/css/main.css
@@ -0,0 +1,173 @@
+a {
+ /* color: #51aae3; */
+ color: #2056ae;
+ /* cursor: pointer; */
+ /* text-decoration: none; */
+}
+
+/* a strong {
+ color: currentColor;
+}
+
+a:hover {
+ color: #363636;
+} */
+
+
+.content {
+ margin-left:0.5em;
+ margin-right:0.5em;
+}
+
+.section-heading {
+ text-align: center;
+ margin-top: 2em;
+ margin-bottom: 2em;
+}
+
+.paper .title {
+ font-size: 1.0rem;
+ margin-top: 0.0em;
+ margin-bottom: 0.5em;
+}
+
+.paper .author {
+ font-size: 0.9rem;
+ margin-top: 0.5em;
+ margin-bottom: 0.0em;
+}
+
+.paper .venue {
+ font-size: 0.9rem;
+ font-style: italic;
+ margin-top: 0.5em;
+ margin-bottom: 0.5em;
+}
+
+.paper .note {
+ font-size: 0.8rem;
+ font-style: italic;
+ margin-top: 0.5em;
+ margin-bottom: 0.5em;
+}
+
+.tile .card {
+ display:flex;
+ flex-direction: column;
+ min-width: 20rem;
+ /*max-width: 25rem;*/
+ /*flex-grow: 0;*/
+ /*justify-content: flex-start;*/
+}
+.tile .card-footer {
+ margin-top: auto;
+ flex-wrap: wrap;
+ /*font-size: 1.25rem;*/
+}
+
+.tile .card .card-content .columns {
+ margin-top: 0.0em;
+ margin-bottom: 0.0em;
+}
+
+/*.card .card-image {
+ text-align: center;
+}
+*/
+.tile .card .card-image .image img {
+ display: block;
+ max-height:100px;
+ width: auto;
+ height: auto;
+}
+
+/* Team */
+
+.team .tile .card {
+ display:flex;
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+
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+ IMRC
+
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+
Intelligent Multi-Robot Coordination Lab
+ TU Berlin
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\ No newline at end of file
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+ IMRC Jobs
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Postdocs
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PhD Students
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+
+
+ PhD Student for Decision Making for Aerial Multi-Robot Teams
+
+
+
+ Deadline: Full consideration until August 4 (until filled thereafter).
+
+
+
+
+ Hours: TV-L 13, 100 %
+
+
+
+
+ In our research we investigate artificial intelligence techniques that enable decision making (task planning, motion planning, and controls) in high-dimensional search spaces. We are motivated by aerial robots, which need to coordinate safely and efficiently in congested environments. Our goal is to develop the algorithmic foundations, both theoretical and practical, that will enable future robot swarms to autonomously conduct search-and-rescue missions, advance just-in-time manufacturing, and function as aerial robot delivery systems.
+
+Requirements:
+ • Successfully completed university degree (Master, Diplom or equivalent) in robotics, computer science, electrical engineering, mechanical engineering, or a related discipline with outstanding performance
+ • Strong analytical skills (such as linear algebra, calculus, AI theory)
+ • Strong programming skills, preferably in C++, Python, or Julia
+ • Excellent communication
+ • Excellent written and spoken English
+ • Above all, enthusiasm for the research area and a desire to develop cutting-edge solutions to challenging real-world problems
+
+Desirable:
+ • Knowledge of trajectory optimization, informed search, machine learning, or planning
+ • Experience with multi-agent or multi-robot systems
+ • Experience with unmanned aerial vehicles (e.g., Crazyflie, PX4, Arducopter) or other robotic systems
+ • Experience with the Robot Operating System (ROS)
+ • Experience with embedded systems (e.g., firmware development in C)
+ • Working knowledge of Linux
+
+
+
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+
+
+
Student Assistants
+
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+
+
+ Student Assistant (BS/MS)
+
+
+
+ Deadline: September 18, 2023
+
+
+
+
+ Hours: 40 to 60 per month
+
+
+
+
+ Help with hardware development activities in the field of flying robots (research and component proposals for our own multirotors (frames, motors, propellers, ESCs); assistance with prototyping (mechanics and electronics); help with tuning of control algorithms including flight tests).
+
+Requirements:
+ • Very good knowledge in the field of prototype development (mechanics and electronics)
+ • Good basic knowledge in control engineering
+ • Excellent written and spoken English
+ • Above all, enthusiasm for the research area and a desire to participate in a research lab
+
+Desirable:
+ • Experience with modelling and control of flying robots
+ • Experience with embedded systems (Arduino, STM32, or similar)
+ • Experience with the Robot Operating System (ROS)
+ • Good mathematical basics (linear algebra and calculus)
+
+
+
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+
\ No newline at end of file
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+
+
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+ IMRC Publications
+
+
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+
Publications
+
+
+
+
+
This list only includes publications since the lab was founded. For other relevant publications see Wolfgang Hönig's personal webpage .
+
+
+
+
+
+
+
+
+
+
+
+ MRNAV: Multi-Robot Aware Planning and Control Stack for Collision and Deadlock-free Navigation in Cluttered Environments
+
+
+
+ arXiv,
+
+ 2023
+
+
+
+
+
+ Baskın Şenbaşlar,
+
+
+
+ Pilar Luiz,
+
+
+
+ Wolfgang Hönig,
+
+
+
+ Gaurav S. Sukhatme
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches
+
+
+
+ arXiv (Submitted to MRS 2023),
+
+ 2023
+
+
+
+
+
+ Pia Hanfeld,
+
+
+
+ Khaled Wahba,
+
+
+
+ Marina M.-C. Höhne,
+
+
+
+ Michael Bussmann,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ RLSS: real-time, decentralized, cooperative, networkless multi-robot trajectory planning using linear spatial separations
+
+
+
+ Autonomous Robots (AuRo), Special Issue "Robot Swarms in the Real World: from Design to Deployment",
+
+ 2023
+
+
+
+
+
+ Baskın Şenbaşlar,
+
+
+
+ Wolfgang Hönig,
+
+
+
+ Nora Ayanian
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Motion Planning for Cable-Suspended Payload Transportation with a Team of Multirotors in Cluttered Environments
+
+
+
+ Future of Construction Workshop at ICRA,
+
+ 2023
+
+
+
+
+
+ Khaled Wahba,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors
+
+
+
+ Multi-Robot Learning Workshop at ICRA,
+
+ 2023
+
+
+
+
+
+ Pia Hanfeld,
+
+
+
+ Marina M.-C. Höhne,
+
+
+
+ Michael Bussmann,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning
+
+
+
+ Energy Efficient Aerial Robotic Systems Workshop at ICRA,
+
+ 2023
+
+
+
+
+
+ Welf Rehberg,
+
+
+
+ Joaquim Ortiz-Haro,
+
+
+
+ Marc Toussaint,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Efficient Optimization-based Cable Force Allocation for Geometric Control of Multiple Quadrotors Transporting a Payload
+
+
+
+ arXiv,
+
+ 2023
+
+
+
+
+
+ Khaled Wahba,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Virtual Omnidirectional Perception for Downwash Prediction within a Team of Nano Multirotors Flying in Close Proximity
+
+
+
+ arXiv (Submitted to MRS 2023),
+
+ 2023
+
+
+
+
+
+ Akmaral Moldagalieva,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ K-Order Markov Optimization and Sequential Convex Programming for Multirotor Motion Planning
+
+
+
+ MS Thesis (Computational Engineering Science),
+
+ 2022
+
+
+
+ Examiners: Marc Toussaint, Oliver Brock; Mentors: Wolfgang Hönig, Joaquim Ortiz-Haro
+
+
+
+
+
+ Welf Rehberg
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Distributed Geometric and Optimization-based Control of Multiple Quadrotors for Cable-Suspended Payload Transport
+
+
+
+ Decision Making in Multi-Agent Systems Workshop at IROS,
+
+ 2022
+
+
+
+
+
+ Khaled Wahba,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Benchmarking Sampling-, Search-, and Optimization-based Approaches for Time-Optimal Kinodynamic Mobile Robot Motion Planning
+
+
+
+ Evaluating Motion Planning Performance: Metrics, Tools, Datasets, and Experimental Design Workshop at IROS,
+
+ 2022
+
+
+
+
+
+ Wolfgang Hönig,
+
+
+
+ Joaquim Ortiz-Haro,
+
+
+
+ Marc Toussaint
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation
+
+
+
+ IEEE/RSJ international conference on intelligent robots and systems (IROS),
+
+ 2022
+
+
+
+
+
+ Marc Toussaint,
+
+
+
+ Jason Harris,
+
+
+
+ Jung-Su Ha,
+
+
+
+ Danny Driess,
+
+
+
+ Wolfgang Hönig
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ db-A*: Discontinuity-bounded Search for Kinodynamic Mobile Robot Motion Planning
+
+
+
+ IEEE/RSJ international conference on intelligent robots and systems (IROS),
+
+ 2022
+
+
+
+
+
+ Wolfgang Hönig,
+
+
+
+ Joaquim Ortiz-Haro,
+
+
+
+ Marc Toussaint
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+ Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research
+
+
+
+ Robot Swarms in the Real World Workshop at ICRA,
+
+ 2021
+
+
+
+
+
+ Arnaud Taffanel,
+
+
+
+ Barbara Rousselot,
+
+
+
+ Jonas Danielsson,
+
+
+
+ Kimberly McGuire,
+
+
+
+ Kristoffer Richardsson,
+
+
+
+ Marcus Eliasson,
+
+
+
+ Tobias Antonsson,
+
+
+
+ Wolfgang Hönig
+
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+
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+ IMRC Teaching
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+
MSc/BSc Thesis
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+
+
+
+ Small-time Locally Controllability for Flying Adversarial Patches (BS)
+
+
+
+
+
+
+
+ The goal of this thesis is to adapt the training algorithm of the Flying Adversarial Patch attack, such that the control over the attacked multirotor is increased. An empirical study should highlight the benefit of the improved method over previous work. Additionally, an adversarial patch should be introduced that specifically forces worst-case predictions of the DL model to compare against the STLC patches in 'safe' regions.
+
+
+
+
+
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+
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+
+
+
+
+ Scaling Fyling Adversarial Patches to a Swarm of Attacker and Victim Multirotors (MS)
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+
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+
+
+
+
+ The goal of this thesis is to improve the overall control over the victim by scaling the Flying Adversarial Patch attack to a team or swarm of attacker multirotors. Furthermore, the extended method can be applied to a swarm of victim multirotors. The attack should be performed in a suitable simulation environment.
+
+
+
+
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+
+
+
+
+
+ Vision-based residual force prediction for a team of UAV in close proximity (MS)
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+
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+
+
+ The goal of this MSc thesis project is to predict interaction forces between flying robots directly from low-resolution grayscale images.
+
+
+
+
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+
+
+
+
+
+
+ Benchmarking Multi-Robot Planning Methods for Intralogistics (MS; in collaboration with Bosch)
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+
+
+
+
+
+
+ The goal of this MSc thesis project is to build a benchmark dataset for multi-agent pickup and delivery (MAPD) planners, with a special focus on the application in industrial logistics or warehouses. The purpose of this benchmark set is to motivate and support research in MAPD planners. It should consist of discrete planning scenarios including an environment to plan in as well as time-steps with pickup and drop-off locations for multiple agents. The environment is represented as a roadmap graph, as this is the common modeling approach in industrial logistics or warehouses.
+
+More details on request.
+
+
+
+
+
+
+
+
+
+
+
+
+ Open Topic
+
+
+
+
+
+
+
+ We offer MS and BS thesis topics for students with a strong interest in robotics who are already enrolled at TU Berlin. In addition to our fixed list of topics, we offer customized topics based on mutual interest and technical background. Our highest priorities are that students learn new technical and theoretical skills and enjoy their time working on the thesis. Good mentoring takes time (we meet with our students at least one hour per week); we therefore can only mentor a few students.
+
+If you are interested in working with us, please contact Wolfgang Hönig with a motivation letter. In your letter, please describe why you are interested, your technical background, and potential projects of interest (if any). If you need an inspiration, you can find examples of past thesis on our publications and teams pages. For us, your enthusiasm for the research area and a desire to participate in a research lab is of utmost importance. We are a highly interdisciplinary and diverse team and we explicitly encourage applications from underrepresented groups.
+
+
+
+
+
+
+
+
+
+
+
+
+
Winter 2023/24
+
+
+
+ We do not offer any classes this term. If you are interested in robotics, please join the interest group.
+
+
+
+
+
+
+
+
+
+
+
+ Other Robotics Courses
+
+
+
+
+
+
+
+ If you are interested in robotics, please enroll in the "Robotics Interest Group" on ISIS to receive notifications.
+
+
+
+
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+
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+
+
+
Summer 2023
+
+
+
+
+
+
+
+
+
+
+
+ Motion Planning
+
+
+ We, 10-11:30am (lecture); Tue, 4-5:30pm (discussion)
+
+
+
+ Credits: 6
+
+
+
+
+ This course is an improved version of the SoSe 2022 class, which now follows the portfolio style.
+
+Motion planning is a fundamental building block for autonomous systems, with applications in robotics, industrial automation, and autonomous driving.
+
+After completion of the course, students will have a detailed understanding of:
+• Formalization of geometric, kinodynamic, and optimal motion planning;
+• Sampling-based approaches: Rapidly-exploring random trees (RRT) and probabilistic roadmaps (PRM);
+• Search-based approaches: State-lattice based A*;
+• Optimization-based approaches: Sequential convex programming;
+• The theoretical properties relevant to these algorithms (completeness, optimality, and complexity).
+
+Students will be able to:
+• Decide (theoretically and empirically) which algorithm(s) to use for a given problem;
+• Implement (basic versions) of the algorithms themselves;
+• Use current academic and industrial tools such as the Open Motion Planning Library (OMPL).
+
+
+
+
+
+
+
+
+
+
+
+
+ Other Robotics Courses
+
+
+
+
+
+
+
+ If you are interested in robotics, please enroll in the "Robotics Interest Group" on ISIS to receive notifications.
+
+We recommend the following other classes offered in the summer term:
+
+• AI and Robotics: Lab Course [MS, Module ]
+• Event-based Robot Vision [MS, Module ]
+• Introduction to Camera Geometry [BS, Module ]
+• Aktuelle Forschung in KI & Robotik [BS, Module ]
+• Einführung in die Künstliche Intelligenz [BS, Module ]
+
+
+
+
+
+
+
+
+
+
+
+
+
Winter 2022/23
+
+
+
+ We do not offer any classes this term.
+
+
+
+
Summer 2022
+
+
+
+
+
+
+
+
+
+
+
+ Motion Planning
+
+
+ Fr, 10-12pm; Tue, 4-6pm
+
+
+
+ Credits: 6
+
+
+
+
+ New course designed by Dr. Wolfgang Hönig and Dr. Andreas Orthey.
+
+Motion planning is a fundamental building block for autonomous systems, with applications in robotics, industrial automation, and autonomous driving.
+
+After completion of the course, students will have a detailed understanding of:
+• Formalization of geometric, kinodynamic, and optimal motion planning;
+• Sampling-based approaches: Rapidly-exploring random trees (RRT) and probabilistic roadmaps (PRM);
+• Search-based approaches: State-lattice based A*;
+• Optimization-based approaches: Sequential convex programming;
+• The theoretical properties relevant to these algorithms (completeness, optimality, and complexity).
+
+Students will be able to:
+• Decide (theoretically and empirically) which algorithm(s) to use for a given problem;
+• Implement (basic versions) of the algorithms themselves;
+• Use current academic and industrial tools such as the Open Motion Planning Library (OMPL).
+
+
+
+
+
+
+
+
+
+
+
+
+
Winter 2021/22
+
+
+
+
+
+
+
+
+
+
+
+ Learning and Intelligent Systems: Project
+
+
+ Wed, 2-4pm; individual meetings
+
+
+
+ Credits: 9
+
+
+
+
+ Course held by Prof. Marc Toussaint. We mentored one out of five students.
+
+After attending the module, students have extensive experience with working in a research lab on specific topics of current research in Learning & Intelligent Systems. They have in-depth knowledge and practical understanding of the specific topic they work on during the project. They are capable of conceptualizing a research project, formulating a realistic workplan, and managing the research work autonomously.
+
+
+
+
+
+
+
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+
+
+
+
+
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+
+
+
+
+
+ IMRC Team
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Team
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Wolfgang Hönig
+
+
+ 05/2021 - now
+
+
+ Group Leader
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Ilaria Cicchetti-Nilsson
+
+
+ 05/2021 - now
+
+
+ Administration
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Akmaral Moldagalieva
+
+
+ 12/2021 - now
+
+
+ PhD student
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Khaled Wahba
+
+
+ 01/2022 - now
+
+
+ PhD student
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Pia Hanfeld
+
+
+ 04/2022 - now
+
+
+ External PhD student
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Dennis Schmidt
+
+
+ 12/2022 - now
+
+
+ Student Assistant
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Nan Cai
+
+
+ 06/2023 - now
+
+
+ Student Assistant
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Lab
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Flightspace
+
+
+ 2021 - now
+
+
+
+
+
+
+
+ Small indoor flight space with safety nets and padding all around with two external tracking systems for ground truth (motion capture and LightHouse).
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Crazyflie 2.1
+
+
+ 2021 - now
+
+
+
+
+
+
+
+ Small (9 cm rotor-to-rotor) and lightweight (29 g) robots with off-the-shelf hardware and fully open-source software. We develop the the ROS2 driver for these robots, called Crazyswarm2.
+
+
+
+
+
+
+
+
+
+
+
+
Thesis Supervision
+
+
+
+
+
+
+
+
+
+
+
+ Theo Valentin Kern
+
+
+ 05/2023 - now
+
+
+ MS Thesis (Computer Engineering)
+
+
+
+
+ Long-Horizon Planning of Multirotor Teams for Construction Assembly
+
+
+
+
+
+
+
+
+
+
+
+ Keerthana Laxmish
+
+
+ 04/2023 - now
+
+
+ MS Thesis (ICT Innovation)
+
+
+
+
+ Learning-Based Relative State Estimation for Ultralow-Power Multirotor Teams
+
+
+
+
+
+
+
+
+
+
+
+ Alexander Weingart
+
+
+ 02/2023 - now
+
+
+ MS Thesis (Computer Science)
+
+
+
+
+ Enhancing Sampling Based Kinodynamic Motion Planning with Reinforcement Learning Policies
+
+
+
+
+
+
+
+
+
+
+
+ Maika Krüger
+
+
+ 01/2023 - now
+
+
+ MS Thesis (Computer Science)
+
+
+
+
+ Safety-Guided Multi-Robot Motion Planning with Applications to Robotic Assisted Surgery using Monte-Carlo Tree Search
+
+
+
+
+
+
+
+
+
+
+
+ Jana Schicke
+
+
+ 11/2022 - 03/2023
+
+
+ BS Thesis (Computer Science)
+
+
+
+
+ Learning-based Multirotor System Model Enhancements
+
+
+
+
+
+
+
+
+
+
+
+ Welf Rehberg
+
+
+ 04/2022 - 11/2022
+
+
+ MS Thesis (Computational Engineering Science)
+
+
+
+
+ K-Order Markov Optimization and Sequential Convex Programming for Multirotor Motion Planning
+
+
+
+
+
+
+
+
+
+
+
+
Alumni
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Pablo Robles Cervantes,
+
+
+ 11/2022 - 3/2023 ,
+
+
+ Student Assistant
+
+ → MSc Student (Computer Science) ETH Zürich
+
+
+
+ [
+
+
+
+
+
+
+
+ ]
+
+
+
+
+
+
+
+
+
+
+
+
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