Welcome to the MGHPCC Virtual Booth

MIT Lincoln Laboratory

Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)

The STRIVE Center integrates fully immersive virtual environments with state-of-the-art sensing capabilities to solve challenging operational problems and perform research that advances our understanding of human physical and cognitive performance.

MIT Lincoln Laboratory’s Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE) Center promotes collaboration among the government, academic, and medical communities on key challenges in clinical rehabilitation, wearable technology development, and advanced operational training. The center’s flagship capability is the Computer Assisted Rehabilitation Environment (CAREN), which enables the assessment of individuals’ biomechanical, physiological, and cognitive performance as they interact with a fully immersive virtual environment.


MIT Lincoln Laboratory


Featured projects

SC23 Project
Computing Social Capital
SC23 Project
Neural Networks & Earthquakes
SC23 Project
SC23 Project
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
SC23 Project
Energy Transport and Ultrafast Spectroscopy Lab
SC23 Project
URI Center for Computational Research
SC23 Project
UMass – URI Unity Cluster
SC23 Project
Computational Molecular Ecology
SC23 Project
Cyber-Physical Communication Network Security
SC23 Project
Remote Sensing of Earth Systems
SC23 Project
Genome Forecasting
SC23 Project
SC23 Student Cluster Competition
SC23 Project
OSN 1 – Accessing Storage
SC23 Project
Campus Champions
SC23 Project
Harvard FASRC
SC23 Project
SEQer – Sequence Evaluation in Realtime
SC23 Project
ACAS X: A Family of Next-Generation Collision Avoidance Systems
SC23 Project
A Future of Unmanned Aerial Vehicles
Knowledge Base
Climate Health and Air Pollution in India
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
The Center for Scientific Computing and Data Science Research (CSCDR)
AI Computing and the AI Jumpstart Cluster
AI for Dementia Assessment
Measuring Nationwide Park Access
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
Refugee Migration and Return on Social Media
Modeling Molecular Dynamics for Drug Delivery
Expanding Computing Education Pathways (ECEP) Alliance
Machine Learning and Wastewater
Candidate Driver Analysis of Multi-omics Data (CaDrA)
Wearable Health Technology
Deepfake Caricatures
Invisible Tags
ElectroVoxels: Modular Self-reconfigurable Robots
Color Changing Objects
The Mass Open Cloud Alliance (MOC Alliance)
Open Cloud Testbed (OCT)
Ecosystem for Research Networking (ERN)
SC23 Project
OSN 2 – Deploying Storage
The UMass-URI Gravity Research Consortium (U2GRC)
Billion Object Platform
Predicting Kinetic Solvent Effects
Predicting Reaction Barrier Heights
Aviation Weather Decision Support Laboratory Tour
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
Conclave Cloud Dataverse: Protected Computing in the Datacenter
Large-Scale Brain Mapping
AI for HPC Analytics
Offshore Precipitation Capability (OPC) System
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
Next Generation Aircraft Collision Avoidance System ACAS X
Learning-Task Informed Abstractions
Research Software Engineering
LLSC Articles and Publications
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
Lichtman Lab – Center for Brain Science
Black Hole Initiative
Lincoln Laboratory Supercomputing Center (LLSC)
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