collaborators

7 papers

cs.RO2026

Pure Inertial Navigation in Challenging Environments with Wheeled and Chassis Mounted Inertial Sensors

Dusan Nemec, Gal Versano, Itai Savin +3

Autonomous vehicles and wheeled robots are widely used in many applications in both indoor and outdoor settings. In practical situations with limited GNSS signals or degraded light…

cs.RO2025

Orientation-Free Neural Network-Based Bias Estimation for Low-Cost Stationary Accelerometers

Michal Levin, Itzik Klein

Low-cost micro-electromechanical accelerometers are widely used in navigation, robotics, and consumer devices for motion sensing and position estimation. However, their performance…

eess.SP2025

Attitude and Heading Estimation in Symmetrical Inertial Arrays

Yaakov Libero, Itzik Klein

Attitude and heading reference systems (AHRS) play a central role in autonomous navigation systems on land, air and maritime platforms. AHRS utilize inertial sensor measurements to…

cs.RO2025

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation

Arup Kumar Sahoo, Itzik Klein

A fundamental requirement for full autonomy in mobile robots is accurate navigation even in situations where satellite navigation or cameras are unavailable. In such practical situ…

cs.LG2025

Canine Clinical Gait Analysis for Orthopedic and Neurological Disorders: An Inertial Deep-Learning Approach

Netta Palez, Léonie Straß, Sebastian Meller +3

Canine gait analysis using wearable inertial sensors is gaining attention in veterinary clinical settings, as it provides valuable insights into a range of mobility impairments. Ne…

cs.RO2025

WMINet: A Wheel-Mounted Inertial Learning Approach For Mobile-Robot Positioning

Gal Versano, Itzik Klein

Autonomous mobile robots are widely used for navigation, transportation, and inspection tasks indoors and outdoors. In practical situations of limited satellite signals or poor lig…