Rachid Alami
Biographic Data
| ID | 3590497 |
|---|---|
| NAME | Rachid Alami |
| GIVEN NAMES | Rachid |
| FAMILY NAME | Alami |
| SIGNATURE | ALAMI R |
| AFFILIATIONS | Centre National de la Recherche Scientifique |
| ORCID | 0000-0002-9558-8163 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A Hybrid LLM/Model-Based Architecture for Flexible and Adaptive Robot Coaching
Human-Robot Interaction (HRI) presents significant challenges in accurately assessing situations, adapting robotic behavior to human intentions, ensuring explainability, pertinence, and acceptability, and effectively managing uncertainty. Traditional model-based approaches provide reliability but struggle with human unpredictability, often approximating human behavior through specific models that fail to encompass all possible scenarios. Converse…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
The Transformative Impact of Artificial Intelligence (AI) on Organisational Behaviour (OB)
Artificial Intelligence (AI) is transforming organizational behavior by reshaping employee engagement, performance, and decision-making processes. This study examines AI’s impact on workplace dynamics, focusing on its role in optimizing workload distribution, enhancing productivity, and supporting leadership adaptation. AI-driven tools, such as sentiment analysis and predictive modeling, facilitate engagement and efficiency but also introduce cha…
Detecting Workplace Hubris
Despite the extensive research on narcissism and its origin, the world of health practice, risk factors, as well as the case in a developing country like Morocco, is a new untapped area. This work explores uncharted territory as it attempts to replace the existing social behavior prediction tools with different machine learning models that promise the best approach to narcissist behavior prediction by identifying psychological features characteri…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
Unveiling the Digital Impact
Social media advertising is finding its place in brand marketing with each passing day, yet its effect on brand perception is unclear; it is rather blurred. In the present age of digitisation, social media has redefined the way brands connect and communicate with consumers and, at the same time, offers a dynamic ecosystem relating to advertising and brand promotions. The study looks into, through empirical research, the impact of social media adv…
Predicting Quiet Quitting
Quite quitting, an increasingly widespread issue in healthcare, poses substantial problems to patient care and labor stability. This study presents a comprehensive review of quiet quitting in healthcare, addressing their ramifications and providing a machine learning model to predict and address this challenge. The technique adopted in this research involves decision trees, random forest, KNN, logistic regression, SVM (Support Vector Machine), En…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation . While the field of social navigation has advanced tremendously in recent years, the fair evaluation of algorithms that tackle social navigation remains hard because it involves not just robotic agents moving in static environments but also dynamic human agents and their perceptions of the appropriateness of…
Addressing joint action challenges in HRI
The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances have encountered significant challenges to ensure fluent interactions and sustain human motivation through the different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise defi…
Towards Robots able to Measure in Real-time the Quality of Interaction in HRI Contexts
Integration of Action, Joint Action and Learning in Robot Cognitive Architectures
Intégration de l’action, de l’action conjointe et de l’apprentissage dans les architectures cognitives robotiques. À l’opposé des recherches en Intelligence Artificielle, où des algorithmes conçus pour des problèmes spécifiques peuvent être testés dans des conditions de simulation parfaitement contrôlée, la Robotique a toujours eu à faire face à la nécessité d’intégrer la perception, la décision et l’exécution de l’action pour pouvoir fonctionner…
Developmental Social Robotics
Towards Human-Level Semantics Understanding of Human-Centered Object Manipulation Tasks for HRI
Towards a Task-Aware Proactive Sociable Robot Based on Multi-state Perspective-Taking
Grounding the Interaction
Synthesizing Robot Motions Adapted to Human Presence
A Task Planner for an Autonomous Social Robot
Integration of Action, Joint Action and Learning in Robot Cognitive Architectures
Intégration de l’action, de l’action conjointe et de l’apprentissage dans les architectures cognitives robotiques. À l’opposé des recherches en Intelligence Artificielle, où des algorithmes conçus pour des problèmes spécifiques peuvent être testés dans des conditions de simulation parfaitement contrôlée, la Robotique a toujours eu à faire face à la nécessité d’intégrer la perception, la décision et l’exécution de l’action pour pouvoir fonctionner…
A Task Planner for an Autonomous Social Robot
Synthesizing Robot Motions Adapted to Human Presence
Grounding the Interaction
Towards a Task-Aware Proactive Sociable Robot Based on Multi-state Perspective-Taking
Towards Human-Level Semantics Understanding of Human-Centered Object Manipulation Tasks for HRI
Developmental Social Robotics
Integration of Action, Joint Action and Learning in Robot Cognitive Architectures
Intégration de l’action, de l’action conjointe et de l’apprentissage dans les architectures cognitives robotiques. À l’opposé des recherches en Intelligence Artificielle, où des algorithmes conçus pour des problèmes spécifiques peuvent être testés dans des conditions de simulation parfaitement contrôlée, la Robotique a toujours eu à faire face à la nécessité d’intégrer la perception, la décision et l’exécution de l’action pour pouvoir fonctionner…
Towards Robots able to Measure in Real-time the Quality of Interaction in HRI Contexts
Addressing joint action challenges in HRI
The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances have encountered significant challenges to ensure fluent interactions and sustain human motivation through the different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise defi…
Unveiling the Digital Impact
Social media advertising is finding its place in brand marketing with each passing day, yet its effect on brand perception is unclear; it is rather blurred. In the present age of digitisation, social media has redefined the way brands connect and communicate with consumers and, at the same time, offers a dynamic ecosystem relating to advertising and brand promotions. The study looks into, through empirical research, the impact of social media adv…
Predicting Quiet Quitting
Quite quitting, an increasingly widespread issue in healthcare, poses substantial problems to patient care and labor stability. This study presents a comprehensive review of quiet quitting in healthcare, addressing their ramifications and providing a machine learning model to predict and address this challenge. The technique adopted in this research involves decision trees, random forest, KNN, logistic regression, SVM (Support Vector Machine), En…
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation . While the field of social navigation has advanced tremendously in recent years, the fair evaluation of algorithms that tackle social navigation remains hard because it involves not just robotic agents moving in static environments but also dynamic human agents and their perceptions of the appropriateness of…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
The Transformative Impact of Artificial Intelligence (AI) on Organisational Behaviour (OB)
Artificial Intelligence (AI) is transforming organizational behavior by reshaping employee engagement, performance, and decision-making processes. This study examines AI’s impact on workplace dynamics, focusing on its role in optimizing workload distribution, enhancing productivity, and supporting leadership adaptation. AI-driven tools, such as sentiment analysis and predictive modeling, facilitate engagement and efficiency but also introduce cha…
Detecting Workplace Hubris
Despite the extensive research on narcissism and its origin, the world of health practice, risk factors, as well as the case in a developing country like Morocco, is a new untapped area. This work explores uncharted territory as it attempts to replace the existing social behavior prediction tools with different machine learning models that promise the best approach to narcissist behavior prediction by identifying psychological features characteri…
Harnessing AI for Faster Innovation
This paper examines the impact of AI-driven concept generation on development cycles and market responsiveness. As organisations face pressure to innovate rapidly, AI is increasingly leveraged to accelerate product ideation, streamline prototyping, and enhance decision-making. This study explores whether AI-driven concept generation reduces time-to-market while maintaining product-market alignment. This research synthesises existing literature an…
A Hybrid LLM/Model-Based Architecture for Flexible and Adaptive Robot Coaching
Human-Robot Interaction (HRI) presents significant challenges in accurately assessing situations, adapting robotic behavior to human intentions, ensuring explainability, pertinence, and acceptability, and effectively managing uncertainty. Traditional model-based approaches provide reliability but struggle with human unpredictability, often approximating human behavior through specific models that fail to encompass all possible scenarios. Converse…
Computer Science (15 works) · Artificial Intelligence (11 works) · Robot (10 works) · Psychology (9 works) · Engineering (7 works) · Human–computer interaction (7 works) · Human–robot interaction (6 works) · Social Robot Interaction and HRI (6 works) · Robotics (5 works) · Business (4 works)