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Heni Ben Amor

Computer Science

Arizona State University

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About Professor Heni Ben Amor

Professor Heni Ben Amor is an Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University, a leading institution recognized for its innovative research and academic excellence in the field of computer science. The university's Computer Science department is esteemed for its commitment to advancing knowledge in areas such as artificial intelligence and robotics. With a collaborative and interdisciplinary environment, ASU fosters pioneering research that addresses real-world challenges, making it an ideal setting for students and faculty alike to explore cutting-edge technologies and methodologies.

🧬Research Focus

Professor Ben Amor's research focuses on the dynamic intersection of human-robot interaction and artificial intelligence, emphasizing robot learning, motor skill acquisition, and collaborative robotics. His innovative work seeks to enable robots to learn from human demonstrations and interactions, mirroring the ways in which humans develop skills. By employing techniques such as reinforcement learning, imitation learning, and embodied intelligence, his research has significant implications for the future of robotics, including advancements in assistive technologies and intuitive human-robot communication. The integration of large language models in his projects presents exciting opportunities for breakthroughs in robot policy search and failure diagnosis, further enhancing the capabilities of intelligent systems in diverse environments.

🎓Student Fit & Career

Graduate students interested in working with Professor Ben Amor will thrive in a research-focused atmosphere that values creativity, technical skills, and a collaborative mentality. Ideal candidates will have a strong background in computer science, robotics, or artificial intelligence, along with a passion for exploring the complexities of human-robot collaboration. Under his academic mentorship, PhD students can expect to engage in innovative graduate research that prepares them for diverse career paths in academia, industry, or applied research sectors, contributing to the advancement of robotics and intelligent systems in society.

Research Areas

human-robot interactionrobot learningmotor skill learningartificial intelligencereinforcement learningimitation learningcollaborative roboticsembodied intelligence

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