Max Robotics — Global Service Robot Directory + US Certification

About

Steven Jiang is a leading researcher in human-robot collaboration (HRC), focusing on how humans and robots can work together safely and effectively. His work centers on three interconnected pillars: modeling human cognitive performance, developing adjustable autonomy frameworks, and quantifying trust between human operators and robotic systems. Jiang’s 2019 paper, “An Effective Model for Human Cognitive Performance within a Human-Robot Collaboration Framework,” has garnered 22 citations and introduced a time-variant model that accounts for fluctuating human cognitive states during collaborative tasks. Building on this, his 2020 work on trust modeling (13 citations) proposed a performance-aware mathematical framework that dynamically adjusts trust based on both human and robot performance. His 2022 paper (14 citations) advanced the field by integrating reinforcement learning into an adjustable autonomy system, allowing robots to adapt their independence based on human feedback. Most recently, in 2024, Jiang extended his trust models to multi-robot settings, addressing the complexities of physical and cognitive constraints. His research is foundational for designing intuitive, responsive HRC systems that enhance productivity while maintaining human oversight.