Maciej Wozniak

I am a Ph.D. student supervised by Patric Jensfelt and André Pereira. My doctoral studies are supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP).

I am working on projects focused on 3D computer vision solutions for robots perception and dynamic environment understanding. I also create VR/AR applications for improving human interaction with indoor and outdoor robots.

I am more than happy to supervise master's students who would be interested in working with me on one of my projects.

Join our workshop onVirtual, Augmented and Mixed Reality for Human-Robot Interaction (VAM-HRI) ACM/IEEE HRI.

Learn more and submit your contribution through our website:

https://vam-hri.github.io/

Master Thesis and Research Projects (DD2414/DD2411):

I feel extremely grateful for the opportunity to work and collaborate with my master's students. Feel free to reach out and join our group as a research project student DD2414/DD2411 or a master thesis student.

Master students, I currently supervise:

1. Viktor Kårefjärd (karef@kth.se) Now working at:Volvo Autonomous Solutions

Thesis:Multi-Modal Fusion for 3D Object Detection

Outcome: Paper in RA-L https://ieeexplore.ieee.org/abstract/document/10246366/

2. Mattias Hansson(matthans@kth.se) Now working at: Husqvarna Group

Thesis:Unsupervised Domain Adaptation for Generalized 3D Object Detection in Mobile Robotics

Outcome: Paper in RA-L https://maxiuw.github.io/uda/

3. Isak Gamnes Sneltvedt (igsn@kth.se) Now working at:Element Logic

Thesis:Using deep learning and RGBD images to represent and interact with virtual environment

https://mau.diva-portal.org/smash/get/diva2:1563044/FULLTEXT02.pdf

4. Zhongyue (Bruce) WU Now at: Winner Studio

Thesis: Enhanced AR: Integrating Haptic Feedback from Tactile Sensors for Immersive Teleoperation

https://kth.diva-portal.org/smash/get/diva2:1887669/FULLTEXT01.pdf

Potential Master thesis projects:

1. Multimodal Self-supervised learning for autonomous driving.

2. Domain generalization for autonomous driving.