5 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Uncertainty Quantification for Visual Object Pose Estimation: S-Lemma Ellipsoidal Bounds
Lorenzo Shaikewitz, Charis Georgiou, Luca Carlone
Quantifying the uncertainty of an object's pose estimate is essential for robust control and planning. Although pose estimation is a well-studied robotics problem, attaching statis…
Non-submodular Visual Attention for Robot Navigation
Reza Vafaee, Kian Behzad, Milad Siami +2
This paper presents a task-oriented computational framework to enhance Visual-Inertial Navigation (VIN) in robots, addressing challenges such as limited time and energy resources.…
Category-Level Object Shape and Pose Estimation in Less Than a Millisecond
Lorenzo Shaikewitz, Tim Nguyen, Luca Carlone
Object shape and pose estimation is a foundational robotics problem, supporting tasks from manipulation to scene understanding and navigation. We present a fast local solver for sh…