Past student projects
Here is a list of student projects (mostly MSc. and BSc.) I supervised or co-supervised at CTU Prague. Roughly reverse chronological order.
Human keypoint detection for close proximity human-robot interaction
Thesis: Dočekal, J. (2022), 'Close proximity human keypoint detection', Master's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][co-supervised by Jakub Rozlivek]
Publication: Docekal, J.; Rozlivek, J.; Matas, J. & Hoffmann, M. (2022), Human keypoint detection for close proximity human-robot interaction, in 'IEEE-RAS International Conference on Humanoid Robots (Humanoids 2022)', pp. 450-457. [IEEE Xplore][pdf-arxiv][youtube-video]
Interactive Perception-Action-Learning for Modelling Objects (related to the IPALM project)
Rustler, L. (2022), 'Visuo-Haptic Uncertainty-Driven Object Shape Completion', Master's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][received Dean's Award][co-supervised by Jens Lundell]
Publications:
Rustler, L.; Matas, J. & Hoffmann, M. (2023), Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation, in 'Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on'. [pdf-arxiv][youtube-video]
Rustler, L., Lundell, J., Behrens, J. K., Kyrki, V., & Hoffmann, M. (2022). 'Active Visuo-Haptic Object Shape Completion'. IEEE Robotics and Automation Letters 7 (2), 5254-5261. [DOI IEEE Xplore][arxiv][code and data][youtube-video]
Hartvich, J. (2022), 'Estimating Object Properties Through Robot Manipulation - Dataset and Benchmark', Bachelor thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [received Deans's Award][link to thesis page][pdf][online database of objects]
Kružliak, A. (2021), 'Exploratory action selection to learn object properties through robot manipulation', Bachelor thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][received Dean's Award][co-supervised by Jan Behrens] [article on arxiv]
Pliska, M. (2021), 'Deformable object classification through robot grasping', Bachelor thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][[co-supervised by Zdenek Straka] [article on arxiv]
Mareš, M. (2020), 'Exploratory Action Selection to Learn Object Properties from Haptic Exploration Using a Robot Hand', Bachelor thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][received Dean's Award][co-supervised by Karla Štěpánová] [article on arxiv]
Stoudek, P. (2020), 'Extracting material properties of objects from haptic exploration using multiple robotic grippers', Master's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][co-supervised by Karla Štěpánová]
Publication: Patni, S. P., Stoudek, P., Chlup, H. and Hoffmann, M. (2024), 'Online elasticity estimation and material sorting using standard robot grippers', The International Journal of Advanced Manufacturing Technology, 1--19. [DOI, Open Access] [video1 - elasticity estimation] [video2 - online material sorting] [data: https://osf.io/gec6s/]
Automatic self-calibration in a dual arm industrial manipulator
Both theses co-supervised with Karla Štěpánová.
Rozlivek, J. (2019), 'Automatic kinematic calibration of dual arm manipulator using self-contact and plane constraints', Bachelor's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf]
Puciow, F. (2018), 'Automatic self-calibration from self-observation and self-touch on a dual arm industrial manipulator', Master's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf] [received Dean's Award]
Publication: Stepanova, K.; Rozlivek, J.; Puciow, F.; Krsek, P.; Pajdla, T. & Hoffmann, M. (2022), 'Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation', Robotics and Computer-Integrated Manufacturing 73, 102250. [DOI][Elsevier - OPEN ACCESS pdf][youtube-video]
Artificial skin calibration for the Nao robot with whole-body skin
Potočná, B. (2020), 'Artificial Skin Calibration for a Humanoid Robot: Comparing or Combining “Self-Touch” and 3D Reconstruction from Images', Bachelor’s thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page]
Rustler, L. (2019), 'Artificial Skin Calibration for the Nao Humanoid Robot Using “Self-touch”', Bachelor’s thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][co-supervised with Karla Štěpánová]
Publication: Rustler, L.; Potocna, B.; Polic, M.; Stepanova, K. & Hoffmann, M. (2021), Spatial calibration of whole-body artificial skin on a humanoid robot: comparing self-contact, 3D reconstruction, and CAD-based calibration, in 'Humanoid Robots (Humanoids), IEEE-RAS International Conference on', pp. 445-452. [IEEE Xplore][preprint-pdf][youtube-video]
Self-exploration and learning body model on humanoid robot with artificial skin
Shcherban, M. (2021), 'Efficient Exploration of Body Surface with Tactile Sensors on Humanoid Robots', Master's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][youtube video]
Shcherban, M. (2019), 'Efficient self-exploration and learning of forward and inverse models on a Nao humanoid robot with artificial skin', Bachelor's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][co-supervised with Karel Zimmermann]
Publications:
Gama, F.; Shcherban, M.; Rolf, M. & Hoffmann, M. (2021), 'Goal-directed tactile exploration for body model learning through self-touch on a humanoid robot', IEEE Transactions on Cognitive and Developmental Systems. [IEEE Xplore - Open access][youtube-video]
Gama, F.; Shcherban, M.; Rolf, M. & Hoffmann, M. (2020), Active exploration for body model learning through self-touch on a humanoid robot with artificial skin, in 'Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)'.[arxiv-pdf][youtube-video]
Personal Spatial Zones in Human-Robot Interaction Scenarios
Rojík, A. (2021), 'Personal Spatial Zones in Human-Robot Interaction Scenarios', Bachelor thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf] [co-supervised by Hagen Lehmann]
Publication: Lehmann, H.; Rojik, A. & Hoffmann, M. (2020), Should a small robot have a small personal space? Investigating personal spatial zones and proxemic behavior in human-robot interaction, in 'CognitIve RobotiCs for intEraction (CIRCE) Workshop at IEEE International Conference On Robot and Human Interactive Communication (RO-MAN)'. [pdf-arxiv][pdf@workshop-site][slides with voice] [youtube video]
Robot recognizing itself in the mirror
Learning peripersonal space representations using neural networks
Pitoňák, A. (2020), 'Application of Predictive Coding for Visuo-Tactile Sensory Integration', Bachelor's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][co-supervised with Zdenek Straka]
Štěpanovský, J. (2019), 'Learning peripersonal space representations using spiking neural networks', Bachelor's thesis, Faculty of Electrical Engineering, Czech Technical University in Prague. [link to thesis page][pdf][co-supervised with Zdenek Straka]
Representation of Proprioceptive Inputs of the iCub Humanoid Robot Using Self-Organizing Maps
Bednárová, N. (2015), 'Reprezentácia proprioceptívnych vstupov humanoidného robota iCub pomocou samoorganizujúcich sa máp', Master's thesis, Czech Technical University, Faculty of Electrical Engineering. [link to thesis page][pdf][co-supervised with Michal Vavrečka]
Publication: Hoffmann, M. & Bednárová, N. (2016), The encoding of proprioceptive inputs in the brain: knowns and unknowns from a robotic perspective, in M. Vavrecka; O. Bečev; M. Hoffmann & K. Štěpánová, ed., 'Kognice a umělý život XVI [Cognition and Artificial Life XVI]', pp. 55-66. [pdf]
Modeling multisensory integration for peripersonal space representation using machine learning
Straka, Z. (2016), 'Tvorba modelu multisenzorní interakce pro reprezentaci peripersonálního prostoru pomocí metod strojového učení', Master's thesis, Czech Technical University, Faculty of Electrical Engineering. [link to thesis page][pdf]
Publications:
Straka, Z. & Hoffmann, M. (2017), Learning a Peripersonal Space Representation as a Visuo-Tactile Prediction Task, in Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Verschure & Alessandro E.P. Villa, ed., 'Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I', Springer International Publishing, Cham, pp. 101--109.[Springer][postprint] [ENNS Best Paper Award]
Straka, Z. & Hoffmann, M. (2019), Learning a peripersonal space representation using Conditional Restricted Boltzmann Machine, inI. Farkaš; M. Takáč; P. Gergel & M. Tomko, ed., 'Kognice a umělý život XIX [Cognition and Artificial Life XIX]', Comenius University Bratislava, pp. 104-105. [pdf]`
Robotic homunculus: Learning of artificial skin representation in a humanoid robot
Straka, Z. (2014), 'Tvorba senzorických map z taktilních vstupů robota iCub pomocí metod strojového učení', Bachelor’s thesis, Czech Technical University, Faculty of Electrical Engineering.[pdf][co-supervised with Michal Vavrečka] [received Dean's Award]
Publication: Hoffmann, M.; Straka, Z.; Farkas, I.; Vavrecka, M. & Metta, G. (2018), 'Robotic homunculus: Learning of artificial skin representation in a humanoid robot motivated by primary somatosensory cortex', IEEE Transactions on Cognitive and Developmental Systems 10 (2), 163-176. [IEEE Xplore][postprint-pdf][long video][short video]