MERL Virtual Open House 2024 To register for the VOH, please go to: https://lnkd.in/eehjd_R8 For agenda and details of the event, please visit: https://lnkd.in/eGnusMzQ #merl #mitsubishielectricresearchlabs #merlresearch
Mitsubishi Electric Research Laboratories
Research
Cambridge, MA 34,476 followers
Come Join Us!
About us
Mitsubishi Electric Research Laboratories (MERL) is the US subsidiary of the Corporate R&D organization of Mitsubishi Electric Corporation. MERL does basic and applied research in the areas of multi-physical modeling and simulation, 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.
- Website
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http://www.merl.com
External link for Mitsubishi Electric Research Laboratories
- Industry
- Research
- Company size
- 51-200 employees
- Headquarters
- Cambridge, MA
- Type
- Public Company
- Founded
- 1991
- Specialties
- Optimization, Signal Processing, Control, Artificial Intelligence, Machine Learning, Computer Vision, Speech & Audio Processing, Robotics, Data Analytics, and Deep Learning
Locations
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Primary
201 Broadway
Cambridge, MA 02139, US
Employees at Mitsubishi Electric Research Laboratories
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Petros Boufounos
Principal Member Research Staff at Mitsubishi Electric Research Labs
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Kieran Parsons
Deputy Director, Senior Team Leader, Senior Principal Research Scientist, Assistant ECA at MERL
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Elizabeth Phillips, CPC
HR Leader | Strategic People Management | Culture Architect
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Gene Vinokur
Updates
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[MERL Seminar Series 2024] Zhaojian Li presents talk titled A Multi-Arm Robotic System for Robotic Apple Harvesting 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 robotic harvesting systems still fall short of performance expectations, lacking robustness and proving inefficient or overly complex for practical commercial deployment. In this talk, I will present the development and evaluation of a new dual-arm robotic apple harvesting system. This work is a result of a continuous collaboration between Michigan State University and U.S. Department of Agriculture. Read more: https://lnkd.in/eTcPVm7J #merl #mitsubishielectricresearchlabs #merlresearch #robotics #roboticappleharvesting
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[MERL Seminar Series 2024] Tom Griffiths presents talk titled Tools from cognitive science to understand the behavior of large language models Large language models have been found to have surprising capabilities, even what have been called “sparks of artificial general intelligence.” However, understanding these models involves some significant challenges: their internal structure is extremely complicated, their training data is often opaque, and getting access to the underlying mechanisms is becoming increasingly difficult. As a consequence, researchers often have to resort to studying these systems based on their behavior. This situation is, of course, one that cognitive scientists are very familiar with — human brains are complicated systems trained on opaque data and typically difficult to study mechanistically. In this talk I will summarize some of the tools of cognitive science that are useful for understanding the behavior of large language models. Specifically, I will talk about how thinking about different levels of analysis (and Bayesian inference) can help us understand some behaviors that don’t seem particularly intelligent, how tasks like similarity judgment can be used to probe internal representations, how axiom violations can reveal interesting mechanisms, and how associations can reveal biases in systems that have been trained to be unbiased. Read more: https://lnkd.in/eNphq8wR #merl #mitsubishielectricresearchlabs #merlresearch #languagemodels #cognitivescience #AI
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MERL team wins the Listener Acoustic Personalisation (LAP) 2024 Challenge MERL's Speech & Audio team ranked 1st out of 7 teams in Task 2 of the 1st SONICOM Listener Acoustic Personalisation (LAP) Challenge, which focused on "Spatial upsampling for obtaining a high-spatial-resolution HRTF from a very low number of directions". The team was led by Yoshiki Masuyama, and also included Gordon Wichern, Francois Germain, MERL intern Christopher Ick, and Jonathan Le Roux. Read more: https://lnkd.in/e3upEasM #merl #mitsubishielectricresearchlabs #merlresearch #speech&audio #LAP
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Mitsubishi Electric Research Laboratories reposted this
We're making big changes at Mitsubishi Electric toward open INNOVATION. We recently held our first Mitsubishi Electric Innovation Summit, inviting VCs, start-ups, and key business leaders to a day-long session followed by networking and discussions. This is a pivotal moment in our company's over 100 history as we expand our business model to work collaboratively with others to serve society in impactful and valuable ways. Many thanks to those who joined us: Blackhorn Ventures, Remarkable Ventures, Collaborative Fund, Realtime Robotics, Inc., Pente, Formic, H2OK, Sourcemap: the Supply Chain Mapping Company, EVident Battery, Inc. To find our more about our innovation group, visit: https://lnkd.in/ghyW9EJg
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MERL Hosts its Annual Women In Science Luncheon On July 26th, MERL hosted its annual Women in Science luncheon. This event brings together MERL's female interns and employees to hear about the experiences and careers of women working in research and engineering fields. This year, we were honored to have Dr. Na Li as our guest speaker. Dr. Li, who joined MERL as a visiting faculty this summer, is a Winokur Family Professor of Electrical Engineering and Applied Mathematics at Harvard University. Read more: https://lnkd.in/eEquVehj #merl #mitsubishielectricresearchlabs #merlresearch #womeninscience #appliedmathematics #electricalengineering
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MERL researchers present 9 papers at ACC 2024 MERL researchers presented 9 papers at the recently concluded American Control Conference (ACC) 2024 in Toronto, Canada. The papers covered a wide range of topics including data-driven spatial monitoring using heterogenous robots, aircraft approach management near airports, computation fluid dynamics-based motion planning for drones facing winds, trajectory planning for coordinated monitoring using a team of drones and a ground carrier vehicle, ensemble Kalman smoothing-based model predictive control for motion planning for autonomous vehicles, system identification for Lithium-ion batteries, physics-constrained deep Kalman filters for vapor compression systems, switched reference governors for constrained systems, and distributed road-map monitoring using onboard sensors. Read more: https://lnkd.in/eN7ZBn6x #merl #mitsubishielectricresearchlabs #merlresearch #AI #control
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Jianlin Guo delivered a keynote in IEEE ICC 2024 Workshop Jianlin Guo delivered a keynote titled "Private IoT Networks" in the IEEE International Conference on Communications (ICC) 2024 Workshop "Industrial Private 5G-and-Beyond Wireless Networks", held in Denver, Colorado from June 9-13. The ICC is one of two IEEE Communications Society’s flagship conferences. Read more: https://lnkd.in/e_wW_2G4 #merl #mitsubishielectricresearchlabs #merlresearch #wirelessnetwork #5G
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[MERL Seminar Series 2024] Chuchu Fan presents talk titled Neural Certificates and LLMs in Large-Scale Autonomy Design Learning-enabled control systems have demonstrated impressive empirical performance on challenging control problems in robotics. However, this performance often arrives with the trade-off of diminished transparency and the absence of guarantees regarding the safety and stability of the learned controllers. In recent years, new techniques have emerged to provide these guarantees by learning certificates alongside control policies — these certificates provide concise, data-driven proofs that guarantee the safety and stability of the learned control system. These methods not only allow the user to verify the safety of a learned controller but also provide supervision during training, allowing safety and stability requirements to influence the training process itself. In this talk, we present two exciting updates on neural certificates. In the first work, we explore the use of graph neural networks to learn collision-avoidance certificates that can generalize to unseen and very crowded environments. The second work presents a novel reinforcement learning approach that can produce certificate functions with the policies while addressing the instability issues in the optimization process. Finally, if time permits, I will also talk about my group's recent work using LLM and domain-specific task and motion planners to allow natural language as input for robot planning. Read more: https://lnkd.in/emTsNUdj #merl #mitsubishielectricresearchlabs #merlresearch #robotics
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MERL at the International Conference on Robotics and Automation (ICRA) 2024 MERL made significant contributions to both the organization and the technical program of the International Conference on Robotics and Automation (ICRA) 2024, which was held in Yokohama, Japan from May 13th to May 17th. Read more: https://lnkd.in/eMZBN4-7 #merl #mitsubishielectricresearchlabs #merlresearch #robotics #optimization