Mani Amani

Papers

Total Citations

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About

Dr. Mani Amani is a rising leader in construction robotics, specializing in safe and intelligent human-robot collaboration. His research centers on three key areas: ergonomic optimization in physical human-robot interaction (pHRI), trustworthy robot navigation, and the integration of artificial intelligence with building information modeling (BIM). Dr. Amani’s most cited work, “Intelligent ergonomic optimization in bimanual worker-robot interaction: A Reinforcement Learning approach” (2024, 10 citations), pioneers a novel framework that uses reinforcement learning to dynamically adjust robot behavior, reducing physical strain on workers during bimanual tasks—a critical advancement beyond traditional collision-avoidance safety. His follow-up paper, “Safe and trustworthy robot pathfinding with BIM, MHA*, and NLP” (2025, 3 citations), introduces a multi-layered pathfinding system that combines BIM data, multi-heuristic A* algorithms, and natural language processing to enable robots to navigate complex, unstructured construction sites reliably. Though early in his career, Dr. Amani’s work is already shaping the future of inherently safe and ergonomic construction workflows, directly addressing the industry’s need for robots that are not only effective but also trustworthy and worker-centric.