Mitsubishi Electric Research Laboratories

Applied Physics

From first-principles modeling to device designs.
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Artificial Intelligence

Making machines smarter for improved safety, efficiency and comfort.
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Communications

Wireless and optical communications.
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Computational Sensing

Utilizing computation to improve sensing capabilities.
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Computer Vision

Extracting meaning and building representations of visual objects and events in the world.
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Control

If it moves, we control it.
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Data Analytics

Learning from data for optimal decisions.
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Dynamical Systems

Exploiting nonlinearity and shaping dynamics in creative and deeply mathematical ways.
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Electric Systems

Modeling & optimization of power systems and electromagnetic machines.
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Electronic and Photonic Devices

Pursuing theoretical and experimental research for next generation devices.
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Machine Learning

Data-driven approaches to design intelligent algorithms.
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Multi-Physical Modeling

Optimal design & robust control through multi-physical modeling.
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Optimization

Efficient solutions to large-scale problems.
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Robotics

Where hardware, software and machine intelligence come together.
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Signal Processing

Acquisition and processing of information.
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Speech & Audio

Audio source separation, recognition, and understanding.
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Welcome to MERL

Mitsubishi Electric Research Laboratories (MERL) is Mitsubishi Electric Corporation's North American research organization.

Set Your Own Path - MERL Culture & Mission

MERL does application-motivated basic and applied research and advanced development in physical simulation & modeling, optimization, control, signal processing and Artificial Intelligence. We are an open lab, publishing our results, collaborating with the world-wide research community, and measuring our performance by the impact we have on Mitsubishi Electric and the world.

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Featured Research

Robust Machine Learning: Improving natural-robust accuracy tradeoff for adversary-resilient deep learning.

Deep learning is widely applied, yet incredibly vulnerable to adversarial examples, i.e., virtually imperceptible perturbations that fool deep neural networks (DNNs). We aim at developing robust machine learning technology: practical defenses that yield deep learning-based systems that are resilient to adversarial examples, through better theoretical understanding of the fragility of conventional DNNs. [learn more]

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MERL Seminar Series

TALK [MERL Seminar Series 2024] Samuel Clarke presents talk titled Audio for Object and Spatial AwarenessDate of TALK: Wednesday, Oct 30, 2024
Speaker: Samuel Clarke, Stanford University

Acoustic perception is invaluable to humans and robots in understanding objects and events in their environments. These sounds are dependent on properties of the source, the environment, and the receiver. Many humans possess remarkable intuition . . . [read more]
TALK [MERL Seminar Series 2024] Zhaojian Li presents talk titled A Multi-Arm Robotic System for Robotic Apple HarvestingDate of TALK: Wednesday, Oct 2, 2024
Speaker: Zhaojian Li, Mivchigan State University

Harvesting labor is the single largest cost in apple production in the U.S. Surging cost and growing shortage of labor has forced the apple industry to seek automated harvesting solutions. Despite considerable progress in recent years, the existing . . . [read more]

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News & Events

AWARD University of Padua and MERL team wins the AI Olympics with RealAIGym competition at IROS24Released: Oct 25, 2024
The team composed of the control group at the University of Padua and MERL's Optimization and Robotic team ranked 1st out of the 4 finalist teams that arrived to the 2nd AI Olympics with RealAIGym competition at IROS 24, which focused on control of . . . [read more]
EVENT Prof. Na Li of Harvard University to Deliver Keynote at MERL's Virtual Open House 2024Date of EVENT: Tuesday, Nov 19, 2024

MERL is excited to announce the featured keynote speaker for our Virtual Open House (VOH) 2024: Prof. Na Li from Harvard University.

Our VOH this year will take place on November 19th, 1:00pm - 4:30pm (EST). Prof. Li’s talk is . . . [read more]
EVENT MERL Virtual Open House 2024Date of EVENT: Tuesday, Nov 19, 2024

Join us for MERL's Virtual Open House (VOH) 2024 on November 19th. Live sessions will be held from 1:00-4:30pm EST, including an overview of recent activities by our research groups, a featured guest speaker and live interaction with our research . . . [read more]

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Internship Openings

Year-round openings for graduate students interned in a research internship.

VIEW INTERNSHIP OPENINGS (26)
Employment Openings

We are always on the lookout for exceptional scientists and engineers to join MERL.

VIEW EMPLOYMENT OPENINGS (2)
Postdoctoral Research Fellow

Unique opportunity for early career scientists to pursue their own research agenda.

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Visiting Faculty

University faculty members are invited to spend part or all of their sabbaticals at MERL.

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Applied Physics

From first-principles modeling to device designs.

Artificial Intelligence

Making machines smarter for improved safety, efficiency and comfort.

Communications

Wireless and optical communications.

Computational Sensing

Utilizing computation to improve sensing capabilities.

Computer Vision

Extracting meaning and building representations of visual objects and events in the world.

Control

If it moves, we control it.

Data Analytics

Learning from data for optimal decisions.

Dynamical Systems

Exploiting nonlinearity and shaping dynamics in creative and deeply mathematical ways.

Electric Systems

Modeling & optimization of power systems and electromagnetic machines.

Electronic and Photonic Devices

Pursuing theoretical and experimental research for next generation devices.

Machine Learning

Data-driven approaches to design intelligent algorithms.

Multi-Physical Modeling

Optimal design & robust control through multi-physical modeling.

Optimization

Efficient solutions to large-scale problems.

Robotics

Where hardware, software and machine intelligence come together.

Signal Processing

Acquisition and processing of information.

Speech & Audio

Audio source separation, recognition, and understanding.

Mitsubishi Electric Research Laboratories (MERL) is Mitsubishi Electric Corporation's North American research organization.

Robust Machine Learning: Improving natural-robust accuracy tradeoff for adversary-resilient deep learning.

Internship Openings

Employment Openings

Postdoctoral Research Fellow

Visiting Faculty