About
As a PhD student specializing in robotics and machine learning, I find immense fulfillment in exploring the intricate dynamics between artificial intelligence and physical systems. My research delves into the realm of skill adaptation in robotics, where I develop innovative algorithms and systems aimed at empowering robots to adapt and excel in diverse real-world scenarios.
Beyond my academic pursuits, I am privileged to serve as a teacher at AGH University, where I share my expertise in machine learning and deep learning with eager learners. Guiding students through the complexities of these fields brings me great joy and satisfaction, as I witness their growth and enthusiasm firsthand.
In my spare time, which is admittedly scarce, I immerse myself in personal projects that span both practical, hands-on endeavors and programming challenges. Whether crafting tangible creations or exploring the intricacies of artificial neural networks, I find solace and inspiration in the pursuit of knowledge and innovation.
Projects
iChores: Intuitive interfaces for human-robot collaboration
Cement mill automation
Gajewski, P., Indurkhya, B., 2022. An Approach to Task Representation Based on Object Features and Affordances. Sensors 22, 6156.
Gajewski, P., Ferreira, P., Bartels, G., Wang, C., Guerin, F., Indurkhya, B., Beetz, M., Sniezynski, B., 2019. Adapting Everyday Manipulation Skills to Varied Scenarios, in: 2019 International Conference on Robotics and Automation (ICRA). Presented at the 2019 International Conference on Robotics and Automation (ICRA), IEEE, Montreal, QC, Canada, pp. 1345–1351.
Sienkiewicz, B., Sejnova, G., Gajewski, P., Vavrecka, M., & Indurkhya, B. (2023, December). How language of interaction affects the user perception of a robot. In International Conference on Social Robotics (pp. 308-321). Singapore: Springer Nature Singapore
Sienkiewicz, B., Sejnova, G., Gajewski, P., Vavrecka, M., & Indurkhya, B. (2023, December). Native Czech speakers consider English-speaking robots more intelligent. In Proceedings of the 11th International Conference on Human-Agent Interaction (pp. 362-364)
Publications
About
As a PhD student specializing in robotics and machine learning, I find immense fulfillment in exploring the intricate dynamics between artificial intelligence and physical systems. My research delves into the realm of skill adaptation in robotics, where I develop innovative algorithms and systems aimed at empowering robots to adapt and excel in diverse real-world scenarios.
Beyond my academic pursuits, I am privileged to serve as a teacher at AGH University, where I share my expertise in machine learning and deep learning with eager learners. Guiding students through the complexities of these fields brings me great joy and satisfaction, as I witness their growth and enthusiasm firsthand.
In my spare time, which is admittedly scarce, I immerse myself in personal projects that span both practical, hands-on endeavors and programming challenges. Whether crafting tangible creations or exploring the intricacies of artificial neural networks, I find solace and inspiration in the pursuit of knowledge and innovation.
Projects
iChores: Intuitive interfaces for human-robot collaboration
Cement mill automation
Publications
Gajewski, P., Indurkhya, B., 2022. An Approach to Task Representation Based on Object Features and Affordances. Sensors 22, 6156.
Gajewski, P., Ferreira, P., Bartels, G., Wang, C., Guerin, F., Indurkhya, B., Beetz, M., Sniezynski, B., 2019. Adapting Everyday Manipulation Skills to Varied Scenarios, in: 2019 International Conference on Robotics and Automation (ICRA). Presented at the 2019 International Conference on Robotics and Automation (ICRA), IEEE, Montreal, QC, Canada, pp. 1345–1351.
Sienkiewicz, B., Sejnova, G., Gajewski, P., Vavrecka, M., & Indurkhya, B. (2023, December). How language of interaction affects the user perception of a robot. In International Conference on Social Robotics (pp. 308-321). Singapore: Springer Nature Singapore
Sienkiewicz, B., Sejnova, G., Gajewski, P., Vavrecka, M., & Indurkhya, B. (2023, December). Native Czech speakers consider English-speaking robots more intelligent. In Proceedings of the 11th International Conference on Human-Agent Interaction (pp. 362-364)
About
As a PhD student specializing in robotics and machine learning, I find immense fulfillment in exploring the intricate dynamics between artificial intelligence and physical systems. My research delves into the realm of skill adaptation in robotics, where I develop innovative algorithms and systems aimed at empowering robots to adapt and excel in diverse real-world scenarios.
Beyond my academic pursuits, I am privileged to serve as a teacher at AGH University, where I share my expertise in machine learning and deep learning with eager learners. Guiding students through the complexities of these fields brings me great joy and satisfaction, as I witness their growth and enthusiasm firsthand.
In my spare time, which is admittedly scarce, I immerse myself in personal projects that span both practical, hands-on endeavors and programming challenges. Whether crafting tangible creations or exploring the intricacies of artificial neural networks, I find solace and inspiration in the pursuit of knowledge and innovation.
Projects
iChores: Intuitive interfaces for human-robot collaboration
Cement mill automation
Publications
Gajewski, P., Indurkhya, B., 2022. An Approach to Task Representation Based on Object Features and Affordances. Sensors 22, 6156.
Gajewski, P., Ferreira, P., Bartels, G., Wang, C., Guerin, F., Indurkhya, B., Beetz, M., Sniezynski, B., 2019. Adapting Everyday Manipulation Skills to Varied Scenarios, in: 2019 International Conference on Robotics and Automation (ICRA). Presented at the 2019 International Conference on Robotics and Automation (ICRA), IEEE, Montreal, QC, Canada, pp. 1345–1351.
Sienkiewicz, B., Sejnova, G., Gajewski, P., Vavrecka, M., & Indurkhya, B. (2023, December). How language of interaction affects the user perception of a robot. In International Conference on Social Robotics (pp. 308-321). Singapore: Springer Nature Singapore
Sienkiewicz, B., Sejnova, G., Gajewski, P., Vavrecka, M., & Indurkhya, B. (2023, December). Native Czech speakers consider English-speaking robots more intelligent. In Proceedings of the 11th International Conference on Human-Agent Interaction (pp. 362-364)
Social Robotics Lab
We explore Human-Robot Interaction in natural social settings.
Jagiellonian University
ul. Ingardena 3, room 304B
30-060 Kraków
Poland
© 2023, Social Robotics Laboratory