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.

More detail about MERL is available in our most recent annual report: MERL Annual Report 2022

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Featured Research

Robotics: Where hardware, software and machine intelligence come together.

Our research is interdisciplinary and focuses on sensing, planning, reasoning, and control of single and multi-agent systems, including both manipulation and mobile robots. We strive to develop algorithms and methods for factory automation, smart building and transportation applications using machine learning, computer vision, RF/optical sensing, wireless communications, control theory and signal processing. Key research themes include bin picking and object manipulation, sensing and mapping of indoor areas, coordinated control of robot swarms, as well as robot learning and simulation. [learn more]

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MERL Seminar Series

TALK [MERL Seminar Series 2023] Prof. Mark Ku presents talk titled A beginner’s guide to quantum sensing illustrated with nitrogen vacancy centers in diamondDate of TALK: Wednesday, May 17, 2023
Speaker: Mark Ku, The University of Delaware

Quantum technology holds potential for revolutionizing how information is processed, transmitted, and acquired. While quantum computation and quantum communication have been among the well-known examples of quantum technology, it is increasingly . . . [read more]
TALK [MERL Seminar Series 2023] Prof. Dan Stowell presents talk titled Fine-grained wildlife sound recognition: Towards the accuracy of a naturalistDate of TALK: Tuesday, Apr 25, 2023
Speaker: Dan Stowell, Tilburg University / Naturalis Biodiversity Centre

Machine learning can be used to identify animals from their sound. This could be a valuable tool for biodiversity monitoring, and for understanding animal behaviour and communication. But to get there, we need very high accuracy at fine-grained . . . [read more]

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News & Events

NEWS Abraham Vinod serves as a panelist at the Student Networking Event at American Control Conference 2023Released: Jun 2, 2023
The student networking event provides an opportunity for all interested students attending American Control Conference 2023 to receive career advice from professionals working in industry, academia, and national laboratories during a structured . . . [read more]
NEWS MERL researchers present 10 papers at the American Control Conference (ACC)Released: May 31, 2023

MERL will present 10 papers at the American Control Conference (ACC) in San Diego, CA, with topics including autonomous-vehicle decision making and control, physics-informed machine learning, motion planning, control subject to nonconvex chance . . . [read more]
NEWS MERL Researchers Organize Two MiniSymposia and Five Invited Talks at the 2023 SIAM Conference on OptimizationReleased: May 30, 2023

Arvind Raghunathan, Senior Team Leader and Senior Principal Research Scientist in Optimization & Intelligent Robotics team, will organize two minisymposia at the 2023 SIAM Conference on Optimization to be held in Seattle from May 31 to June 3. The . . . [read more]

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Internship Openings

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

VIEW INTERNSHIP OPENINGS (13)
Employment Openings

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

VIEW EMPLOYMENT OPENINGS (1)
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.