This paper compares the performance of open-loop and closed-loop filters in inertial navigation systems using simulations.

This tutorial-style review focuses on kinematics of inertial measurement units (IMUs) for human motion capture and introduces methods to determine adequate formulations for sensor measurements.

This paper proposes a Fisher information density (FID)-constrained trajectory sharing scheme for robot collision avoidance under GDPR regulations, achieving better privacy-utility tradeoff than fixed-…

This paper introduces a nonlinear, actuator-aware safety filter for 3D Gaussian Splatting (3DGS) based on full quadrotor dynamics, reducing trajectory jerk by 47% and running 2.25 times faster than ex…

This paper presents a two-stage recovery approach for camera-only low-cost unmanned ground vehicles to restore guideline tracking when lines are lost.

This paper introduces VIDAR, a framework for metric dense monocular reconstruction using visual-inertial odometry and Depth Anything 3.

This paper derives the Cramer-Rao lower bound for 3D localization in UAV-assisted ISAC systems and validates the results through simulations.

This paper evaluates two approaches for maintaining safe separation between small Unmanned Aircraft Systems (sUAS) in urban environments with degraded Global Navigation Satellite System (GNSS) signals…

Ultra Diffusion Poser is a novel diffusion model that improves human motion tracking from sparse IMUs and UWB ranging by explicitly modeling the geometric constraints imposed by inter-sensor distances…

This paper presents a new modular architecture for NeoSLAM using modern frameworks, achieving real-time execution and minimal data discarding. It also compares NeoSLAM and RatSLAM across three dataset…

This paper proposes Metric-DROID, an end-to-end recurrent architecture for precise metric depth estimation in monocular autonomous robot navigation, using proprioceptive odometry and a LSTM Update Ope…

The paper proposes the Frequency-Weighted Neural Kalman Filter (FW-NKF), a hybrid approach that improves state estimation for robotics by explicitly suppressing frequency-dependent noise components in…

A lightweight sensor-driven Lévy walk controller is presented for efficient autonomous exploration of minimal-sensing, resource-constrained nano-UAVs.

This paper proposes a hybrid TRP-UE sensing mechanism for Integrated Sensing and Communication (ISAC) systems to improve network-based sensing performance in challenging indoor factory environments.

Proposed an asynchronous block coordinate descent algorithm for distributed trajectory estimation in robotics, reducing communications by up to 96.9% and achieving exponential convergence.

The paper proposes an uncertainty-aware, decentralized fusion layer for multi-UAV systems that significantly improves 3D localization robustness by incorporating neighbor constraints and handling faul…