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20152026
most citedObstacle Avoidance via Hybrid Feedback

32 citations · 84 across the 39 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

Attitude Estimation Using Inertial and Barometric Measurements

Melone Nyoba Tchonkeu, Soulaimane Berkane, Tarek Hamel

Accurate and robust attitude estimation is a key challenge for autonomous vehicles, particularly in GNSS-denied conditions and during highly accelerated flight. In such conditions,…

cs.RO2026

Tutorial on Aided Inertial Navigation Systems: A Modern Treatment Using Lie-Group Theoretical Methods

Soulaimane Berkane

Robots and autonomous vehicles rely on accurate estimates of their position, velocity, and orientation. Inertial sensors measure motion at high rates, but errors accumulate as thes…

cs.RO2025

Cascaded Tightly-Coupled Observer Design for Single-Range-Aided Inertial Navigation

Oussama Sifour, Soulaimane Berkane, Abdelhamid Tayebi

This work introduces a single-range-aided navigation observer that reconstructs the full state of a rigid body using only an Inertial Measurement Unit (IMU), a body-frame vector me…

cs.RO2025

Barometer-Aided Attitude Estimation

Méloné Nyoba Tchonkeu, Soulaimane Berkane, Tarek Hamel

Accurate and robust attitude estimation is a central challenge for autonomous vehicles operating in GNSS-denied or highly dynamic environments. In such cases, Inertial Measurement…

cs.RO2025

Observer Design for Optical Flow-Based Visual-Inertial Odometry with Almost-Global Convergence

Tarek Bouazza, Soulaimane Berkane, Minh-Duc Hua +1

This paper presents a novel cascaded observer architecture that combines optical flow and IMU measurements to perform continuous monocular visual-inertial odometry (VIO). The propo…

cs.RO2024

Hybrid Feedback Control for Global Navigation with Locally Optimal Obstacle Avoidance in n-Dimensional Spaces

Ishak Cheniouni, Soulaimane Berkane, Abdelhamid Tayebi

We present a hybrid feedback control framework for autonomous robot navigation in n-dimensional Euclidean spaces cluttered with spherical obstacles. The proposed approach ensures s…

cs.RO2021

Hybrid Feedback for Autonomous Navigation in Environments with Arbitrary Convex Obstacles

Mayur Sawant, Soulaimane Berkane, Ilia Polusin +1

We develop an autonomous navigation algorithm for a robot operating in two-dimensional environments cluttered with obstacles having arbitrary convex shapes. The proposed navigation…