Design guidelines and tools for creating believable motion for personal robots. - Martin Saerbeck; Albert J. N. van Breemen (RO-MAN, 2007)

A Practical Study on the Design of a User-Interface Robot Application. - Martin Saerbeck; Benoît Bleuzé; Albert J. N. van Breemen (FIRA, 2009)

Towards a design method for expressive robots. - Bernt Meerbeek; Martin Saerbeck; Christoph Bartneck (HRI, 2009)

Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor. - Martin Saerbeck; Tom Schut; Christoph Bartneck; Maddy D. Janse (CHI, 2010)

Perception of affect elicited by robot motion. - Martin Saerbeck; Christoph Bartneck (HRI, 2010)

Positive and Negative Learning Impacts from Technological Social Agents. - Jonathan S. Herberg; Daniel T. Levin; Martin Saerbeck (ICCE, 2012)

Analysis of Qualities of Effective Teachers and Issues on Designing Educational Robots. - Ilker Yengin; Sau-Lai Lee; Martin Saerbeck (ICCE, 2012)

Structuring automated learning discussions using dialog games and cognitive maps. - Ilker Yengin; Martin Saerbeck (ITHET, 2012)

Robust gesture detection and recognition using dynamic time warping and multi-class probability estimates. - Pramod Kumar Pisharady; Martin Saerbeck (CIMSIVP, 2013)

Eliciting ideal tutor trait perception in robots: pinpointing effective robot design space elements for smooth tutor interactions. - Jonathan S. Herberg; Dev C. Behera; Martin Saerbeck (HRI, 2013)

Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systems. - Pramod Kumar Pisharady; Martin Saerbeck (ACCV Workshops (1), 2014)

A robust gesture detection and recognition algorithm for domestic robot interactions. - Pramod Kumar Pisharady; Martin Saerbeck (ICARCV, 2014)

Robot watchfulness hinders learning performance. - Jonathan S. Herberg; Sebastian Feller; Ilker Yengin; Martin Saerbeck (RO-MAN, 2015)

Recent methods and databases in vision-based hand gesture recognition: A review. - Pramod Kumar Pisharady; Martin Saerbeck (Comput. Vis. Image Underst., 2015)

The Relationship Between Emotion Models and Artificial Intelligence. - Christoph Bartneck; Michael J. Lyons 001; Martin Saerbeck (CoRR, 2017)

Affine Disentangled GAN for Interpretable and Robust AV Perception. - Letao Liu; Martin Saerbeck; Justin Dauwels (CoRR, 2019)

Dynamic Probabilistic Model Checking for Sensor Validation in Industry 4.0 Applications. - Xin Xin 007; Sye Loong Keoh; Michele Sevegnani; Martin Saerbeck (SmartIoT, 2020)

Shaping Blockchain Technology for Securing Supply Chains. - Lim Yong Zhi; Jianying Zhou 001; Martin Saerbeck (ACNS Workshops, 2021)

SuppliedTrust: A Trusted Blockchain Architecture for Supply Chains. - Lim Yong Zhi; Jianying Zhou 001; Martin Saerbeck (ACNS Workshops, 2022)

Run-Time Probabilistic Model Checking for Failure Prediction: A Smart Lift Case Study. - Xin Xin 007; Sye Loong Keoh; Michele Sevegnani; Martin Saerbeck (WF-IoT, 2022)

Recurrent Affine Transform Encoder for Image Representation. - Letao Liu; Xudong Jiang 001; Martin Saerbeck; Justin Dauwels (IEEE Access, 2022)

Adaptive Model Verification for Modularized Industry 4.0 Applications. - Xin Xin 007; Sye Loong Keoh; Michele Sevegnani; Martin Saerbeck; Teck Ping Khoo (IEEE Access, 2022)

EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images. - Letao Liu; Xudong Jiang 001; Martin Saerbeck; Justin Dauwels (IEEE Trans. Neural Networks Learn. Syst., 2024)