Efficient Nonlinear Optimization for Robotic Perception with Sparse Variable Projection
Published:Dec 8, 2025 19:02
•1 min read
•ArXiv
Analysis
This ArXiv paper explores a method to improve the efficiency of nonlinear optimization problems in robotic perception by exploiting the separable structure of the problem. The approach, Sparse Variable Projection, is designed to enhance computational performance in complex robotic perception tasks.
Key Takeaways
Reference
“The paper is available on ArXiv.”