Scholar
Onur Bagoren
Google Scholar ID: g0zgthQAAAAJ
Ph.D. Student in Robotics, University of Michigan
Citations & Impact
Citations
45
H-index
4
i10-index
2
Publications
7
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Papers Published:
- - VAIR: Visuo-Acoustic Implicit Representations for Low-Cost, Multi-Modal Transparent Surface Reconstruction in Indoor Scenes (ICRA 2025)
- - PUGS: Perceptual Uncertainty for Grasp Selection in Underwater Environments (ICRA 2025)
- - TURTLMap: Real-time Localization and Dense Mapping of Low-texture Underwater Environments with a Low-cost Unmanned Underwater Vehicle (IROS 2024)
- - Machine Learning for Shipwreck Segmentation from Side Scan Sonar Imagery: Dataset and Benchmark (International Journal of Robotics Research, 2024)
- - Uncertainty-Aware Acoustic Localization and Mapping for Underwater Robots (OCEANS 2023 Limerick)
- - OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework (In Submission)
- - SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting (In Submission)
- Academic Talks:
- - Gave a talk at the ICRA 2025 Doctoral Consortium
- - Guest lecture at ROB 599: Deep Learning for Robotics on the topic of learning-based sensor fusion for mapping and robot perception
Research Experience
- Worked at iRobot; Interned at the University of Washington Applied Physics Lab.
Education
- Ph.D. student at the University of Michigan, advised by Dr. Katie Skinner; Previously a visiting researcher at the University of Washington Applied Physics Lab, advised by Dr. Aaron Marburg.
Background
- Research Interests: Applying probabilistic learning methods to computer vision and robotics, particularly in state estimation, mapping, and decision-making. Field: Computer Vision, Robotics.
