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Yacine Amirat

15 accepted papers

2026

Adaptive Control Strategy for Ankle Assistance Using an Actuated Ankle-Foot Orthosis With Selective Adaptive Parameter Convergence

RA-L 2026

Neuro-muscular injuries affecting the peroneal nerve or ankle joint dorsiflexor muscles can lead to foot-drop (FD), characterized by a difficulty in dorsiflexing the ankle during the gait. This paper introduces mid- and low-level control strategies for providing an adaptive torque assistance at the

Cited by 1SourceScholar
2025

Hyperbolic Transformers with LLMs for Multimodal Human Activity Recognition

IROS 2025

Human Activity Recognition (HAR) plays a crucial role in applications such as healthcare, smart environments, and human-robot interaction. This study proposes a novel Hyperbolic optimization strategy to improve model generalization by leveraging the geometric structure of the parameter space. To eva

Cited by 0SourceScholar
2025

Multimodal Human Activity Recognition with a Large Language Model for Enhanced Human-Robot Interaction

IROS 2025

This paper presents a novel framework for Human Activity Recognition (HAR) by unifying all sensor streams, visual, audio, and inertial, into a single textual domain, enabling the direct application of GPT-3 for multimodal data classification. Unlike traditional pipelines that use dedicated encoders

Cited by 0SourceScholar
2024

A Novel Funnel-Based L1 Adaptive Fuzzy Approach for the Control Of An Actuated Ankle Foot Orthosis

ICRA 2024poster

This paper introduces a novel funnel-based adaptive {{\mathcal{L}}_1}{{\mathcal{L}}_1} fuzzy control strategy for assisting ankle joint movement during walking with the use of an actuated ankle foot orthosis (AAFO). A projection-based adaptation mechanism employing a fuzzy system is used to estimate…

Cited by 6SourceScholar
2022

Hybrid Half-Gaussian Selectively Adaptive Fuzzy Control of an Actuated Ankle-Foot Orthosis

RA-L 2022

To control an actuated ankle–foot orthosis (AAFO) during walking, a selectively adaptive hybrid fuzzy control employing particle-swarm optimization was used in conjunction with a Lyapunov-theory-based adaptive fuzzy-logic control. Adaptation (a computationally expensive process) was performed only w

Cited by 8SourceScholar
2021

A Novel Gait Phase Detection Algorithm for Foot Drop Correction through Optimal Hybrid FES-Orthosis Assistance

ICRA 2021poster

As a life-threatening disease, stroke can lead to long-term problems affecting the patients’ daily living ability. A common problem facing post-stroke patients is foot drop. An emerging modality of interest for correcting the foot drop is to combine both actuated ankle-foot orthosis (AAFO) and funct…

Cited by 4SourceScholar
2021

Spatio-Temporal Convolutional Networks and N-Ary Ontologies for Human Activity-Aware Robotic System

RA-L 2021

Endowing a companion robot with cognitive abilities to recognize human daily activities, in particular from body skeletons information, is a significant challenge, which needs complex and novel approaches. Recently, most of the proposed approaches exploit the hand-crafted features or the predefined

Cited by 6SourceScholar
2020

Automatic Classification Error Detection and Correction for Robust Human Activity Recognition

RA-L 2020

One of the main objectives of Ambient Assisted Living (AAL) systems is to proactively provide intelligent services to improve the quality of people's lives in terms of autonomy, safety, and well-being. Designing AAL systems that can autonomously monitor human's activities and provide assistance serv

Cited by 17SourceScholar
2020

Human Gait Phase Recognition using a Hidden Markov Model Framework

IROS 2020poster

Analysis of human daily living activities, particularly walking activity, is essential for health-care applications such as fall prevention, physical rehabilitation exercises, and gait monitoring. Studying the evolution of the gait cycle using wearable sensors is beneficial for the detection of any…

Cited by 8SourceScholar
2018

Adaptive FES Assistance Using a Novel Gait Phase Detection Approach

IROS 2018poster

This paper presents an adaptive knee-joint based Functional Electrical Stimulation (FES)method to correct the foot drop of paretic patients during swing phase. The rationale behind the adaptive FES is to amplify dorsiflexor stimulation in the late swing when it is most needed in order to face the in…

Cited by 13SourceScholar
2018

Cooperative Control for Knee Joint Flexion-Extension Movement Restoration

IROS 2018poster

This paper describes a cooperative control approach that combines the use of a powered knee joint orthosis along with Functional Electrical Stimulation (FES) for knee joint flexion-extension movement restoration. A closed-loop adaptive control and an open-loop FES of the quadriceps muscle group are…

Cited by 10SourceScholar
2018

Human-Exoskeleton System Dynamics Identification Using Affordable Sensors

ICRA 2018poster

This paper presents a practical method to identify body segments inertial parameters of a human-exoskeleton system using affordable and easy-to-use sensors. First, the joints and the base kinematics are estimated based on the use of an extended Kalman filter and QR visual markers. Then, joints kinem…

Cited by 16SourceScholar
2018

Hybrid Approach for Human Activity Recognition by Ubiquitous Robots

IROS 2018poster

One of the main objectives of ubiquitous robots is to proactively provide context-aware intelligent services to assist humans in their professional or daily living activities. One of the main challenges is how to automatically obtain a consistent and correct description of human context such as loca…

Cited by 23SourceScholar
2016

Active Impedance Control of a lower limb exoskeleton to assist sit-to-stand movement

ICRA 2016

As an important movement of the daily living activities, sit-to-stand (STS) movement is usually a difficult task facing elderly and dependent people. To provide appropriate power assistance for the sit-to-stand movement, a novel intention-based Active Impedance Control (AIC) strategy applied on a lo

Cited by 57SourceScholar
2016

Augmented -1 adaptive control of an actuated knee joint exoskeleton: From design to real-time experiments

ICRA 2016

This paper deals with the control of a lower limb exoskeleton acting at the knee joint level. Classical −1 adaptive control law is proposed to ensure assistance-as-needed and resistive rehabilitation following a desired trajectory that is defined by a therapeutic doctor. This control law introduces

Cited by 22SourceScholar