Team > Sascha Sucker, M. Sc.
Fakultät für Mathematik, Physik und Informatik
Lehrstuhl für Angewandte Informatik III
Occupation
Research Assistant
Projects
Verbales Instruieren von sensorbasierten Robotersystemen (VerbBot)
Videos
Teaching
- Übung zu Computersehen
(SS21, SS22, SS23)
- Bachelor-Projekt
(WS21/22, WS23/24, SS24, WS24/25)
- Aktionstage Girls' Day und MINT-Herbstuni
(WS22/23, SS24, WS24/25)
Awards
- Best Paper Award - MHI-Fachkolloquium (2022)
- Nominierung zum Lehrpreis "Goldenen Kreide" der Fachschaft MPI (2024)
Publications
- Sascha Sucker; Dominik Henrich; Michael Neubauer; (2024)
Robot Tasks with Fuzzy Time Requirements from Natural Language Instructions
(IRC 2024)
Accepted for presentation at 2024 IEEE International Conference on Robotic Computing (IRC). Link to preprint - Fabian Mikula; Dominik Henrich; Sascha Sucker; (2024)
Gesture-based Robot Programming Enabling Non-Sequential Control Flow
(MHI 2024)
This is a preprint version of the paper Gesture-based Robot Programming Enabling Non-Sequential Control Flow, which will be published by the MHI in Rostock in 2024 - Michael Gradmann; Dominik Henrich; Nico Höllerich; Michael Spangenberg; Sascha Sucker; (2023)
Handbuch Mensch-Roboter-Kollaboration, 2. aktualisierte Auflage, Kapitel 5.2: Modalitäten zur Interaktion - Myriel Fichtner; Dominik Henrich; Stefan Jablonski; Dominik Riedelbauch; Sascha Sucker; (2023)
Enriching Process Models with Relevant Process Details for Flexible Human-Robot Teaming
(EAI CollaborateCom 2023) - Sascha Sucker; Dominik Henrich; (2023)
A layered Pipeline for Natural Language Robot Programming with Control Structures
(Annals of Scientific Society for Assembly, Handling and Industrial Robotics (to appear)) - Dominik Riedelbauch; Sascha Sucker; (2022)
Visual Programming of Robot Tasks with Product and Process Variety
(Annals of Scientific Society for Assembly, Handling and Industrial Robotics (Best Paper Award))
Supervised Student Works
Master Theses:
- Revanth Gowdaiahnapalya Puttaswamaiah (2024): "Ordering Natural Language Instructions using Keywords and Context". Master Thesis, SS24.
- Michael Neubauer (2024): "Fuzzy-Scheduling und Temporale Fuzzy-Logik im Kontext der natürlich-sprachlichen Programmierung (Engl. Fuzzy-Scheduling and Temporal Fuzzy-Logic within the Context of Natural-language Programming)". Master Thesis, WS23/24.
- Carsten Schwenk (2024): "Natürlich-sprachliche Programmierung von verhaltensbasierten Robotersystemen (Engl. Natural-Language Programming of Behavior-Based Robotic Systems)". Master Thesis, WS23/24.
- Vivek Mahto (2023): "Task-oriented dialogue system with social capabilities". Master Thesis, WS23/24.
- Fabian Mikula (2023): "Roboterprogrammierung durch intuitive, visuelle Gesten (Engl. Robot Programming via Intuitive, Visual Gestures)". Master Thesis, SS23.
Master Practical Courses, Seminars, and Projects:
- Lukas Bachmeier (2024): "Parametrization of User-defined Commands in Natural Language Programming". Project, WS23/24.
- Revanth Gowdaiahnapalya Puttaswamaiah (2023): "Comparison of Different Semantic Similarity Measures in the Context of Pick and Place Tasks". Project, SS23.
- Fabian Mikula (2023): "Objekterkennung und Lokalisation mit Hilfe von SIFT (Engl. Object Recognition and Localization via SIFT)". Project, SS23.
- Michael Neubauer (2022): "Generisches Fuzzy-System zur Auswertung linguistischer Variablen (Engl. Generic Fuzzy System for the Evaluation of Linguistic Variables)". Practical Work, WS22/23.
Bachelor Theses:
- Daniel Burkel (2024): "Kombination natürlich-sprachlicher und kinästhetischer Eingaben zur Programmierung von Roboter-Skills (Engl. Combination of Natural Language and Kinesthetic Input for Programming Robot-skills)". Bachelor Thesis, WS23/24.
- - (2023): "Erzeugung von Aufgabenbeschreibungen aus Prozessdetails (Engl. Generation of Task Descriptions from Process Details)". Bachelor Thesis, WS22/23.
- - (2023): "Klassifikation deliberativer und reaktiver Anweisungen natürlicher Sprache (Engl. Classification of Deliberative and Reactive Natural Language Instructions)". Bachelor Thesis, WS22/23.
Fakultät für Mathematik, Physik und Informatik
Lehrstuhl für Angewandte Informatik III
Sascha Sucker, M. Sc.
Research Assistant
Gebäude INF, Raum 1.43
Phone: +49 (0)921/ 55-7767
Fax: +49 (0)921/ 55-7
Email: sascha.sucker@uni-bayreuth.de