Scholar
Tucker Hermans
Google Scholar ID: G5_VFfkAAAAJ
Associate Professor, School of Computing, University of Utah; Senior Research Scientist, NVIDIA
Citations & Impact
Citations
2,939
H-index
32
i10-index
55
Publications
20
Co-authors
122
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted to top-tier venues including CoRL, RSS, ICRA, IROS, IEEE T-RO, IEEE RA-L, and IJRR
- 2025: "Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference" accepted to CoRL 2025
- 2025: "Learning Multimodal Probabilistic Models of Manipulation Skill Effects" accepted to CoRL 2025 LSRW Workshop
- 2025: "Differentiable GPU-Parallelized Task and Motion Planning" accepted to RSS 2025
- 20225: "Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics" accepted to ICRA 2025
- 2024: "Magnetic Manipulation of Unknown and Complex Conductive Nonmagnetic Objects with Application in the Remediation of Space Debris" published in IJRR
- 2024: "DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics" accepted to CoRL 2024
- 2024: "Position Regulation of a Conductive Nonmagnetic Object with Two Stationary Field Sources" published in IEEE T-RO
- 2024: Two papers accepted to IROS 2024: "V-PRISM" and "L4KDE"
- 2024: Three papers accepted to ICRA 2024 on deformable object manipulation, reasoning about unobserved objects, and visual robustness with point clouds
- 2024: "Pick and Place Pl..." accepted to IEEE RA-L (title incomplete)
Background
- Professor at the Kahlert School of Computing, University of Utah
- Affiliated with the University of Utah Robotics Center and the Utah Center for Data Science
- Director of the Utah Learning Lab for Manipulation Autonomy (LL4MA Lab)
- Research focuses on autonomous learning, planning, and perception for robot manipulation
- Particularly interested in enabling robots to autonomously discover and manipulate previously unknown objects
