Maciej K. Wozniak
Papers
11
Total Citations
102
H-Index
6
About
Maciej K. Wozniak is a robotics researcher whose work spans robot perception, human-robot interaction, and domain adaptation for autonomous systems. His most influential contribution is the MCD (Multi-Campus Dataset), a large-scale, diverse dataset designed to push beyond the limitations of existing autonomous driving-focused benchmarks — garnering 48 citations shortly after its 2024 release, signaling its rapid adoption by the robotics and SLAM communities. Wozniak has also made notable strides in bridging the gap between autonomous driving methodologies and mobile robotics, as demonstrated by his work on unsupervised adversarial domain adaptation for sparse LiDAR-based 3D object detection (UADA3D) and his survey on transferring self-driving detection methods to mobile robots. A significant thread of his research explores virtual, augmented, and mixed reality interfaces for human-robot collaboration — from VR-guided cloth folding and haptic teleoperation to frameworks enabling users to correct robot perception errors in real time. His recurring involvement in organizing the VAM-HRI workshop series further underscores his leadership in this emerging field. Collectively, Wozniak's work addresses a critical challenge in modern robotics: making autonomous systems more perceptive, adaptable, and intuitively collaborative with humans.
Research Focus
Key Achievements
Top Papers
- 1MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception48 citations · 2024
- 2A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding12 citations · 2023
- 3
- 4
- 5What You See Is (not) What You Get6 citations · 2023
- 6
- 7MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception4 citations · 2024
- 8
- 9
- 10