Mitsubishi Electric Research Laboratories’ Post

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

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

[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

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

MERL Papers and Workshops at CVPR 2024 MERL researchers are presenting 5 conference papers, 2 workshop papers, and are co-organizing two workshops at the CVPR 2024 conference, which will be held in Seattle, June 17-21. Read more: https://lnkd.in/eb2HtuwA #merl #mitsubishielectricresearchlabs #merlresearch #CVPR

Toshiaki Koike-Akino to give a seminar talk at EPFL on quantum AI Toshiaki Koike-Akino is invited to present a seminar talk at EPFL, Switzerland. The talk, entitled "Post-Deep Learning: Emerging Quantum AI Technology", will discuss the recent trends, challenges, and applications of quantum machine learning (QML) technologies. The seminar is organized by Prof. Volkan Cevher and Prof. Giovanni De Micheli. The event invites students, researchers, scholars and professors through EPFL departments including School of Engineering, Communication Science, Life Science, Machine Learning and AI Center. Read more: https://lnkd.in/ev5PnMtM #merl #mitsubishielectricresearchlabs #merlresearch #AI #quantummachinelearning

Diego Romeres, Principal Research Scientist and Team Leader in the Optimization and Robotics Team, was invited to speak as a guest lecturer in the seminar series on "AI in Action" in the Department of Management and Engineering, at the University of Padua. The talk, entitled "Machine Learning for Robotics and Automation" described MERL's recent research on machine learning and model-based reinforcement learning applied to robotics and automation. Read more: https://lnkd.in/e2BnidRn #merl #mitsubishielectricresearchlabs #merlresearch #AI #machinelearning

[MERL Seminar Series 2024] Na Li presents talk titled Close the Loop: From Data to Actions in Complex Systems The explosive growth of machine learning and data-driven methodologies have revolutionized numerous fields. Yet, translating these successes to the domain of dynamical, physical systems remains a significant challenge, hindered by the complex and often unpredictable nature of such environments. Closing the loop from data to actions in these systems faces many difficulties, stemming from the need for sample efficiency and computational feasibility amidst intricate dynamics, along with many other requirements such as verifiability, robustness, and safety. In this talk, we bridge this gap by introducing innovative approaches that harness representation-based methods, domain knowledge, and the physical structures of systems. We present a comprehensive framework that integrates these components to develop reinforcement learning and control strategies that are not only tailored for the complexities of physical systems but also achieve efficiency, safety, and robustness with provable performance. Read more: https://lnkd.in/eE7KVExk #merl #mitsubishielectricresearchlabs #merlresearch #machinelearning