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About

Stephan Hasler is a robotics researcher whose work spans human-robot interaction, computer vision, and the application of large language models to autonomous systems. Over more than a decade of contributions, he has established himself as a thoughtful innovator at the intersection of artificial intelligence and physical robotics, consistently tackling the challenge of making robots more capable, intuitive, and transparent partners for human users. His earlier work, including the widely cited "Active 3D Object Localization Using a Humanoid Robot" (56 citations), demonstrated sophisticated approaches to visual search under real-world constraints. More recently, Hasler has emerged as a significant voice in LLM-driven robotics, with "LaMI: Large Language Models for Multi-Modal Human-Robot Interaction" (64 citations) representing his most impactful contribution to date — streamlining traditionally complex HRI pipelines through unified language model architectures. Complementary work such as "CoPAL" (25 citations) and "Attentive Support" (14 citations) further demonstrates his commitment to robust, correctable, and socially aware robotic behavior. Notably, Hasler has also championed explainability and accessibility in robotics, exploring augmented reality interfaces and curiosity-driven robot behaviors. With nearly 215 cumulative citations, his research offers students and practitioners a rich roadmap for building robots that collaborate meaningfully with people in everyday environments.