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
Top Papers
- 1LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping1,955 citations · 2020
- 2Graph-theoretic connectivity control of mobile robot networks415 citations · 2011
- 3Chatter analysis of robotic machining process351 citations · 2006
- 4Illusory movement perception improves motor control for prosthetic hands201 citations · 2018
- 5
- 6Energetics and Stability of Translating Media with an Arbitrarily Varying Length169 citations · 1999
- 7
- 8Atmospheric correction over coastal waters using multilayer neural networks153 citations · 2017
- 9
- 10Information-theoretic exploration with Bayesian optimization132 citations · 2016
Faculty & Researchers
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