update team and jobs

_data/jobs.yml

@@ -31,51 +31,51 @@ phd: []
   #         • Programming sample (e.g., link to github)%0D%0A
   #         • Names and email addresses of up to two qualified persons who are willing to provide a reference on request
 
-shk:
-  - name: "Student Assistant (BS/MS)"
-    hours: 40 to 80 per month
-    deadline: Extended to April 8, 2024.
-    #March 18, 2024
-    reference: IV-SB-0027-2024
-    announcement: https://tub.stellenticket.de/de/offers/180149/?locale=en
-    note: |
-      Help with research and development activities in the field of multi-robot systems, in particular:
-          • preparatory and supporting work in the Programming in Python within the scope of machine learning for flying robot teams  (60%).
-          • Support in the execution of experiments with robot teams to collect data (flying robots indoors) (40%)
-
-      Requirements:
-          • Very good programming skills in Python
-          • Very good knowledge in machine learning
-          • Excellent written and spoken English
-          • Above all, enthusiasm for the research area and a desire to participate in a research lab
-
-      Desirable:
-          • Basics of control engineering / robotics
-          • Experience with modelling and control of flying robots
-          • Experience with the Robot Operating System (ROS)
-
-  - name: "Student Assistant (BS/MS)"
-    hours: 40 to 80 per month
-    deadline: Extended to April 8, 2024.
-    # March 18, 2024
-    reference: IV-SB-0026-2024
-    announcement: https://tub.stellenticket.de/de/offers/180147/?locale=en
-    note: |
-      Help with research and development activities in the field of multi-robot systems, in particular:
-          • preparatory and supporting work in the Programming in C++ and Python within the scope of multi-robot motion planning (70%).
-          • Support in the execution of experiments with robot teams (flying robots and other mobile robots) (30%)
-
-      Requirements:
-          • Very good programming skills in C++ and Python
-          • Good algorithmic foundation (data structures, informed search)
-          • Excellent written and spoken English
-          • Above all, enthusiasm for the research area and a desire to participate in a research lab
-
-      Desirable:
-          • Fundamentals of artificial intelligence / machine learning
-          • Basics of control engineering / robotics
-          • Basics of optimization algorithms
-          • Experience with the Robot Operating System (ROS)
+shk: []
+  # - name: "Student Assistant (BS/MS)"
+  #   hours: 40 to 80 per month
+  #   deadline: Extended to April 8, 2024.
+  #   #March 18, 2024
+  #   reference: IV-SB-0027-2024
+  #   announcement: https://tub.stellenticket.de/de/offers/180149/?locale=en
+  #   note: |
+  #     Help with research and development activities in the field of multi-robot systems, in particular:
+  #         • preparatory and supporting work in the Programming in Python within the scope of machine learning for flying robot teams  (60%).
+  #         • Support in the execution of experiments with robot teams to collect data (flying robots indoors) (40%)
+
+  #     Requirements:
+  #         • Very good programming skills in Python
+  #         • Very good knowledge in machine learning
+  #         • Excellent written and spoken English
+  #         • Above all, enthusiasm for the research area and a desire to participate in a research lab
+
+  #     Desirable:
+  #         • Basics of control engineering / robotics
+  #         • Experience with modelling and control of flying robots
+  #         • Experience with the Robot Operating System (ROS)
+
+  # - name: "Student Assistant (BS/MS)"
+  #   hours: 40 to 80 per month
+  #   deadline: Extended to April 8, 2024.
+  #   # March 18, 2024
+  #   reference: IV-SB-0026-2024
+  #   announcement: https://tub.stellenticket.de/de/offers/180147/?locale=en
+  #   note: |
+  #     Help with research and development activities in the field of multi-robot systems, in particular:
+  #         • preparatory and supporting work in the Programming in C++ and Python within the scope of multi-robot motion planning (70%).
+  #         • Support in the execution of experiments with robot teams (flying robots and other mobile robots) (30%)
+
+  #     Requirements:
+  #         • Very good programming skills in C++ and Python
+  #         • Good algorithmic foundation (data structures, informed search)
+  #         • Excellent written and spoken English
+  #         • Above all, enthusiasm for the research area and a desire to participate in a research lab
+
+  #     Desirable:
+  #         • Fundamentals of artificial intelligence / machine learning
+  #         • Basics of control engineering / robotics
+  #         • Basics of optimization algorithms
+  #         • Experience with the Robot Operating System (ROS)
 
   # - name: "Student Assistant (BS/MS)"
   #   hours: 40 to 80 per month

_data/teaching.yml

@@ -1,25 +1,25 @@
 thesis:
 
-  - name: Small-time Locally Controllability for Flying Adversarial Patches (BS)
-    note: |
-      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.
-    apply: https://www.theses.tu-berlin.de/en/theses/018a3f64-7f10-7afa-b386-9f3e94df59c6
+  # - name: Small-time Locally Controllability for Flying Adversarial Patches (BS)
+  #   note: |
+  #     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.
+  #   apply: https://www.theses.tu-berlin.de/en/theses/018a3f64-7f10-7afa-b386-9f3e94df59c6
 
-  - name: Scaling Fyling Adversarial Patches to a Swarm of Attacker and Victim Multirotors (MS)
-    note: |
-      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.
-    apply: https://www.theses.tu-berlin.de/en/theses/018a3f5c-2507-7007-aa53-96051dbf4942
+  # - name: Scaling Fyling Adversarial Patches to a Swarm of Attacker and Victim Multirotors (MS)
+  #   note: |
+  #     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.
+  #   apply: https://www.theses.tu-berlin.de/en/theses/018a3f5c-2507-7007-aa53-96051dbf4942
 
   # - name: Vision-based residual force prediction for a team of UAV in close proximity (MS)
   #   note: |
   #     The goal of this MSc thesis project is to predict interaction forces between flying robots directly from low-resolution grayscale images.
   #   apply: https://www.theses.tu-berlin.de/en/theses/0189d953-673d-73ab-8cfd-0c24183be2fc
 
-  - name: Benchmarking Multi-Robot Planning Methods for Intralogistics (MS; in collaboration with Bosch)
-    note: |
-      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.
+  # - name: Benchmarking Multi-Robot Planning Methods for Intralogistics (MS; in collaboration with Bosch)
+  #   note: |
+  #     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.
+  #     More details on request.
 
   - name: Open Topic
     note: |

_data/team.yml

@@ -69,6 +69,8 @@ team:
     github: den-schmidt
     image: dennis_schmidt.jpg
     start: 12/2022
+    end: 05/2024
+    next_role: MSc Thesis with Continental / IMRC
 
   - name: Nan Cai
     role: Student Assistant
@@ -123,6 +125,7 @@ team:
     role: BS Thesis (Computer Engineering)
     note: Hardware-in-the-loop Simulation for Crazyflie Multirotors
     start: 11/2023
+    end: 03/2024
 
   - name: Bojan Derajić
     role: External PhD student (Continental)
@@ -151,3 +154,38 @@ team:
     image: crazyflie20.png
     start: 2021
     note: 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.
+
+  - name: Max Perschen
+    role: Student Assistant
+    github: mmX42
+    image: max_perschen.jpg
+    start: 06/2024
+
+  - name: Jan Achermann
+    role: Student Assistant
+    email:  achermann (at) campus (dot) tu-berlin (dot) de
+    github: polyblank-5
+    image: jan_achermann.jpg
+    start: 06/2024
+
+  - name: Christoph Scherer
+    role: MS Thesis (Computational Engineering Science)
+    note: Learning Residual Physics Distributions of Multirotors with Cable-Suspended Payloads
+    start: 02/2023
+
+  - name: Julius Franke
+    role: MS Thesis (Computational Engineering Science)
+    note: Motion Primitive Selection for Kinodynamic Motion Planning
+    start: 05/2023
+
+  - name: Eckart Ferdinand Cobo Briesewitz
+    role: BS Thesis (Computer Science)
+    note: Learning-based Multirotor Control Enhancements
+    start: 05/2023
+
+  - name: Dennis Schmidt
+    role: MS Thesis (Electrical Engineering)
+    note: Development of an uncertainty-aware Motion Planner combining Branch MPC with Machine Learning
+    start: 06/2023
+
+