Stevens Institute of Technology

🇺🇸 US

Papers

345

Total Citations

9,710

H-Index

44

Researchers

297

About

Stevens Institute of Technology has established itself as a dynamic hub for robotics, autonomous systems, and intelligent sensing research, with particular strength in simultaneous localization and mapping (SLAM), multi-robot coordination, and human-robot interaction. Perhaps the institution's most celebrated contribution to the field is LIO-SAM, a tightly-coupled lidar inertial odometry framework that has garnered nearly 2,000 citations since its 2020 publication, setting a new benchmark for real-time trajectory estimation and map-building in mobile robotics. This work, alongside DiSCo-SLAM — a distributed multi-robot LiDAR SLAM framework — demonstrates Stevens' sustained commitment to pushing the boundaries of robot perception and mapping in complex environments. Beyond navigation, Stevens researchers have made meaningful advances in multi-robot systems, developing theoretical frameworks for graph-theoretic connectivity control and cooperative source-seeking algorithms that have shaped how robot teams coordinate in dynamic environments. The institution's work on environmental monitoring — from plume tracking to Gaussian process occupancy mapping and information-theoretic exploration — reflects a strong emphasis on deploying autonomous systems in real-world, data-rich scenarios. Stevens also bridges robotics with impactful human-centered applications, including prosthetic hand control through illusory movement perception, robot-assisted pedestrian regulation using deep reinforcement learning, and smart health technologies for pandemic response. Its engagement with industrial robotics, including robotic machining and offshore wind turbine inspection, further speaks to a culture of translational research. With a growing portfolio spanning IoT, AI, and autonomous systems, Stevens offers prospective students and collaborators a richly interdisciplinary environment where foundational robotics research meets real-world societal impact.

Research Focus

Key Achievements

44
H-Index
345
Papers
9,710
Total Citations
297
Faculty & Researchers
🏆 Most Cited Paper
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
1,955 citations · 2020
📊 Avg Citations/Paper: 28
📈 Most Prolific Year: 2019 (31)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Mobile robot, Engineering, Computer vision

Top Papers

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Faculty & Researchers

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