TRoBS - a biological inspired robot. - Jan Schmitt; Philipp Last; Christian Löchte; Annika Raatz; Jürgen Hesselbach (ROBIO, 2009)

Design of a hyper-flexible assembly robot using artificial muscles. - Jan Schmitt; Frank Grabert; Annika Raatz (ROBIO, 2010)

Disassembly automation for lithium-ion battery systems using a flexible gripper. - Jan Schmitt; Hannes Haupt; Michael Kurrat; Annika Raatz (ICAR, 2011)

Tracking control with hysteresis compensation for manipulator segments driven by pneumatic artificial muscles. - Frank Schreiber; Yevgen Sklyarenko; Kathrin Schluter; Jan Schmitt; Sven Rost; Annika Raatz; Walter Schumacher (ROBIO, 2011)

Design preferences on Industrial Augmented Reality: a survey with potential technical writers. - Michele Gattullo; Lucilla Dammacco; Francesca Ruospo; Alessandro Evangelista; Michele Fiorentino 001; Jan Schmitt; Antonio E. Uva (ISMAR Adjunct, 2020)

A User Study on AR-assisted Industrial Assembly. - Florian Schuster; Uwe Sponholz; Bastian Engelmann; Jan Schmitt (ISMAR Adjunct, 2020)

Assisted Human-Robot-Interaction for Industrial Assembly: Application of Spatial Augmented Reality (SAR) for Collaborative Assembly Tasks. - Jan Schmitt; Andreas Hillenbrand; Philipp Kranz; Tobias Kaupp (HRI (Companion), 2021)

Assisted Human-Robot-Interaction for Industrial Assembly: Video to Assisted Human-Robot-Interaction for Industrial Assembly. - Jan Schmitt; Philipp Kranz; Andreas Hillenbrand; Tobias Kaupp (HRI (Companion), 2021)

Evaluation of Visual Requirements and Software-Design for Immersive Visibility in Industrial Applications. - Maximilian Rosilius; Benedikt Wirsing; Ingo von Eitzen; Markus Wilhelm; Jan Schmitt; Bastian Engelmann; Volker Bräutigam (ISMAR Adjunct, 2021)

Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning. - Eddi Miller; Vladyslav Borysenko; Moritz Heusinger; Niklas Niedner; Bastian Engelmann; Jan Schmitt (Sensors, 2021)

Evaluation of the Influence of Machine Tools on the Accuracy of Indoor Positioning Systems. - Till Neuber; Anna-Maria Schmitt; Bastian Engelmann; Jan Schmitt (Sensors, 2022)

Anomaly Detection for Dynamic Human-Robot Assembly: Application of an LSTM-based autoencoder to interpret uncertain human behavior in HRC. - Fabian Schirmer; Philipp Kranz; Jan Schmitt; Tobias Kaupp (HRI (Companion), 2023)

Towards Automatic Extraction of Product and Process Data for Human-Robot Collaborative Assembly. - Fabian Schirmer; Varun K. Srikanth; Philipp Kranz; Chad G. Rose; Jan Schmitt; Tobias Kaupp (ICAR, 2023)

Towards gestured-based technologies for human-centred Smart Factories. - Vito Modesto Manghisi; Markus Wilhelm; Antonello Uva; Bastian Engelmann; Michele Fiorentino 001; Jan Schmitt (Int. J. Comput. Integr. Manuf., 2023)

KoPro - Configurable Process Chains for Human-Robot Collaborative Assembly. - Philipp Kranz; Fabian Schirmer; Adrian Müller 001; Usama Ali; Jan Schmitt; Tobias Kaupp (HRI (Companion), 2024)

Towards a Path Planning and Communication Framework for Seamless Human-Robot Assembly. - Fabian Schirmer; Philipp Kranz; Balachandra Bhat; Chad G. Rose; Jan Schmitt; Tobias Kaupp (HRI (Companion), 2024)

Analysis of Factors Influencing the Precision of Body Tracking Outcomes in Industrial Gesture Control. - Aleksej Weber; Markus Wilhelm; Jan Schmitt (Sensors, 2024)

Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data. - Bastian Engelmann; Anna-Maria Schmitt; Moritz Heusinger; Vladyslav Borysenko; Niklas Niedner; Jan Schmitt (Appl. Artif. Intell., 2024)

Gesture vs. Touch Control for Unforeseen Situations of Human-Robot Collaborative Assembly. - Philipp Kranz; Dennis Kristhofen; Fabian Schirmer; Chad G. Rose; Jan Schmitt; Tobias Kaupp (HRI, 2025)

Utilizing Eye Gaze for Human-Robot Collaborative Assembly. - Fabian Schirmer; Philipp Kranz; Chad G. Rose; Volker Willert; Jan Schmitt; Tobias Kaupp (HRI, 2025)

Deep Reinforcement Learning for Adaptive Job Shop Scheduling in Robotic Cells: Handling Disruptions Effectively. - Eddi Miller; Anna-Maria Schmitt; Tobias Kaupp; Andreas Schiffler; Jan Schmitt (ICMRE, 2025)

Energy Prediction for CNC Machines Using G-Code Evaluation, Machine Learning and a Real-World Training Part. - Anna-Maria Schmitt; Eddi Miller; Andreas Schiffler; Jan Schmitt (ICMRE, 2025)

Alternating Transfer Functions to Prevent Overfitting in Non-Linear Regression with Neural Networks. - Philipp Seitz; Jan Schmitt (J. Exp. Theor. Artif. Intell., 2025)