Hiroki Mori: Architect of Future Robotics & AI

Dr. Hiroki Mori's academic journey laid a robust foundation for his future endeavors in artificial intelligence and robotics. He earned his Bachelor of Engineering degree in Information and Computer Science from Toyohashi University of Technology in March 2004, followed by a Master of Engineering from the same institution's Graduate School of Engineering in March 2006. His pursuit of knowledge culminated in a Ph.D. in Information Science and Technology from the prestigious University of Tokyo in March 2011, specializing in the Department of Mechano-Informatics. This rigorous academic background equipped him with a comprehensive understanding of complex systems, computational methods, and the intricate interplay between information and physical mechanisms, all crucial for the burgeoning fields of AI and robotics. During his doctoral studies, under the supervision of Professor Yasuo Kuniyoshi at the University of Tokyo, Dr. Mori began to explore the fascinating area of developmental robotics. His early research focused on understanding how intelligence emerges from the interaction between a developing nervous system and the physical environment. A notable work from this period, published in 2010, explored "A Developmental Nervous System Model for Fetal Reflexive Behaviors which are Self-organized via Tactile Sensation," demonstrating an early interest in the fundamental principles of learning and adaptation. This foundational work hinted at a career dedicated to unraveling the mysteries of intelligence through the lens of robotic embodiment.

Dr. Hiroki Mori's professional career reflects a consistent commitment to advancing the frontiers of AI and robotics through research and collaborative leadership across esteemed Japanese institutions. His journey began as a Researcher at the Japan Science and Technology Agency (JST) ERATO Asada Synergistic Intelligence Project from October 2009 to March 2011. This project, under the leadership of Professor Minoru Asada, focused on synergistic intelligence, exploring how different forms of intelligence can emerge through interaction. His involvement here deepened his understanding of complex adaptive systems and laid the groundwork for his future contributions to developmental robotics. Following his tenure at JST ERATO, Dr. Mori served as an Assistant Professor in the Department of Adaptive Machine Systems, Graduate School of Engineering, at Osaka University from April 2011 to March 2016. During this period, he continued to contribute to research on humanoid robots and artificial intelligence, further solidifying his expertise in the practical aspects of robotics. His research at Osaka University included studies on the emergence of diverse behaviors from interactions between nonlinear oscillator complex networks and musculoskeletal systems, and the development of platforms like "Fetusoid35" for neural development research. Since October 2017, Dr. Mori has been a pivotal figure at Waseda University, serving as a Researcher/Associate Professor at the Future Robotics Organization, and concurrently holding a position within the Faculty of Science and Engineering. As of April 2022, he transitioned to a Visiting Researcher (Visiting Associate Professor) role within the Future Robotics Organization, maintaining his active involvement. Waseda University's Future Robotics Organization is at the forefront of developing next-generation robotics, and Dr. Mori's presence there underscores his influence in shaping the field's future. He is also recognized as a visiting researcher at the Advanced Industrial Science and Technology (AIST) Artificial Intelligence Research Center (AIRC) in Tokyo, further connecting his work to national strategic initiatives in AI. His affiliations demonstrate a dedication to collaborative, interdisciplinary research, bridging academic theory with practical application in robotics and AI. Beyond his academic roles, Dr. Mori is also a co-founder and director of Tokuiten Inc. This engagement with the private sector highlights his commitment to translating cutting-edge research into real-world innovations, embodying the spirit of practical application in AI and robotics.

Dr. Hiroki Mori's research portfolio is expansive, characterized by a deep exploration of how intelligent systems can learn, adapt, and interact with the physical world and humans. His work consistently seeks to imbue robots with more human-like cognitive abilities, focusing on areas crucial for the next generation of AI and robotics. One of Dr. Mori's core research interests lies in "constructive developmental science," which investigates how intelligence emerges and develops through physical embodiment and interaction with the environment. His work extends to analyzing motion, consciousness, and development in infants and even fetuses, using these biological principles to inform the design of intelligent robots. For example, his research on "A human fetus development simulation: Self-organization of behaviors through tactile sensation" explores how basic sensorimotor experiences can lead to complex behavioral patterns, providing insights into the foundational elements of learning in artificial systems. This approach views robots not just as machines to be programmed, but as learning entities that can develop their intelligence through interaction, much like biological organisms. This perspective is particularly relevant for creating adaptive and robust AI systems that can operate in unpredictable real-world environments. In a 2025 publication, he explored "Mathematical Models for Development from fetus to Curiosity," further demonstrating his ongoing commitment to this foundational aspect of AI. Dr. Mori has made significant contributions to the application of deep learning for complex robot manipulation tasks. His research delves into how robots can perceive, understand, and interact with objects and tools in dynamic environments. A prominent example is his work on "In-air knotting of rope using dual-arm robot based on deep learning." This seemingly simple task presents enormous challenges for robots due to the rope's flexibility and constantly changing state. Dr. Mori's team developed a model based on deep neural networks, trained using sensorimotor data, to enable a dual-arm robot to perform bowknots and overhand knots without requiring a dedicated workbench. This research exemplifies the power of deep learning in allowing robots to handle deformable objects, a long-standing hurdle in robotics. Another groundbreaking area is his work on "How to Select and Use Tools? : Active Perception of Target Objects Using Multimodal Deep Learning." This research tackles the critical function of tool selection and use for robots in domestic applications. Dr. Mori's team developed a deep neural network model that learns to recognize object characteristics, acquire tool-object-action relations, and generate motions for tool selection and handling using multimodal data (images, force, and joint angle information). This allows robots to adapt to unknown tools and objects, even generating actions for ingredients transfer tasks with turners or ladles. This represents a significant leap towards robots that can perform versatile tasks requiring nuanced understanding of object properties and functional relationships. His work also extends to "Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs" and "Put-in-Box Task Generated from Multiple Discrete Tasks by a Humanoid Robot Using Deep Learning." These projects aim to equip robots with the ability to navigate complex environments and perform multi-step tasks efficiently and safely, showcasing the practical application of advanced AI techniques in motion planning and task execution. Beyond physical manipulation, Dr. Mori's research also extends into the realm of human-robot interaction, particularly in conversational AI. He has been involved in developing conversational AI for specific, impactful applications, such as supporting patients with dementia. This involves designing socially embodied intelligent agents and robots that can communicate effectively with people, acknowledging the nuances of human conversation, including turn-taking and backchanneling. His work explores how AI agents can facilitate group conversations, a critical function in preventing cognitive decline and providing social support, especially in aging societies. In the rapidly evolving landscape of AI ethics, Dr. Mori has also contributed to discussions on the "Reliability of Artificial Intelligence in Science and Society," addressing critical questions surrounding trust and dependability in AI systems. This demonstrates his holistic approach, considering not just the technical capabilities of AI but also its broader societal implications and ethical considerations. A recurring theme in Dr. Mori's research is predictive learning, where AI models anticipate future states or actions to enable more fluid and adaptive robot behavior. This includes "Deep Predictive Learning for Embodied Intelligence" and its applications in robotics. His work on "Real-Time Motion Generation and Data Augmentation for Grasping Moving Objects with Dynamic Speed and Position Changes" further exemplifies this, allowing robots to robustly interact with objects that are not stationary. By developing models that learn from visual and tactile sensorimotor data, his research enables robots to perform complex tasks with a level of adaptability previously difficult to achieve. This also involves guiding visual attention and using proprioceptive data-driven reinforcement learning for robust task performance under variable conditions.

Dr. Hiroki Mori's impactful contributions have been recognized through numerous awards and distinctions within the academic and research communities. His work on "How to Select and Use Tools? : Active Perception of Target Objects Using Multimodal Deep Learning," co-authored with Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, and Shigeki Sugano, received the prestigious Best Paper Award in Cognitive Robotics at the IEEE International Conference on Robotics and Automation (ICRA) 2021. This award underscores the significance of his research in enabling robots to understand and interact with their environment in a more cognitively informed manner. Furthermore, his paper, "Buttoning Task with a Dual-Arm Robot: An Exploratory Study on a Marker-based Algorithmic Method and Marker-less Machine Learning Methods," co-authored with Wakana Fujii, Kanata Suzuki, Tomoki Ando, Ai Tateishi, and Tetsuya Ogata, was honored with a Best Paper Award at the IEEE/SICE International Symposium on System Integration (SII2022). In December 2024, a paper he co-authored, "Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs," received the Papers of the Year 2024 award from the FA foundation, and also the Advanced Robotics Best Paper Award in September 2024. These accolades are a testament to the quality, innovation, and relevance of his research in pushing the boundaries of what robots can achieve through advanced AI. His early career also saw him receive the Young Investigation Excellence Award from The Robotics Society of Japan, highlighting his promise and impact even in his nascent research years. These consistent recognitions reflect Dr. Mori's enduring influence and the high regard in which his work is held by his peers.

While this article focuses on Dr. Hiroki Mori, the distinguished AI and Robotics researcher, it is important to acknowledge that "Hiroki Mori" is a relatively common name in Japan, leading to several other notable individuals across diverse professions. The initial keyword "hiroki morii" likely represents a phonetic variation or a slight misspelling of "Hiroki Mori." For instance, there is a highly respected Hiroki Mori specializing in Insolvency and Reorganization Law in Tokyo, Japan. He is recognized in "The Best Lawyers in Japan™ 2026" for his expertise in complex financial regulations, investment funds, and corporate restructuring. His legal acumen has significantly contributed to Japan's financial and corporate landscape. Another prominent figure is Hiroki Morinoue, a celebrated artist. While his surname has an additional 'noue', his first name is Hiroki. Morinoue is renowned for his captivating woodcuts, monotypes, and works across various media, often drawing inspiration from nature and a profound "sense of place" rooted in his Hawaiian and Japanese heritage. He is a co-founder of the Holualoa Foundation for Arts and Culture and has been designated a "Living Treasure of Hawaii," signifying his immense cultural impact. His artistic contributions offer a compelling counterpoint to the technological advancements explored by the AI researcher. Furthermore, there is a Hiroki Mori in Organic Material and Polymer Chemistry, an Assistant Professor at Okayama University, whose research focuses on semiconducting polymers and organic photovoltaic cells. His work is crucial for advancements in sustainable energy and electronics. Another Hiroki Mori is a Professor in Plastic and Reconstructive Surgery at Tokyo Medical and Dental University, specializing in areas like breast reconstruction and maxillofacial surgery. These individuals, though distinct in their fields, share a commitment to excellence and innovation, much like Dr. Hiroki Mori in robotics. This variety underscores the rich talent associated with the name "Hiroki Mori," highlighting that a single name can represent a multitude of expertise and contributions to society. However, the depth and breadth of publicly available academic and professional information regarding Dr. Hiroki Mori, the AI and Robotics researcher, make him a compelling subject for an in-depth exploration of cutting-edge technological advancements and their societal impact.

Dr. Hiroki Mori's research is not merely theoretical; it holds profound implications for the real world, influencing the development of future technologies and their integration into society. His work on embodied intelligence and developmental robotics is crucial for building AI systems that can learn and adapt in dynamic, unstructured environments, moving beyond rigid programming to more flexible, human-like intelligence. This foundation is essential for robots to operate effectively in homes, healthcare settings, and complex industrial scenarios. The advancements in deep learning for robot manipulation, spearheaded by Dr. Mori, are directly enabling robots to perform tasks that were once considered exclusively human domains, such as intricate knotting or the nuanced use of tools. As we look towards 2025 and beyond, these capabilities will pave the way for highly dexterous robots capable of assisting in surgical procedures, precision manufacturing, and even everyday domestic chores, significantly enhancing productivity and quality of life. Imagine a future, not so far away in 2025, where your domestic robot effortlessly prepares a meal, understanding the subtle characteristics of ingredients and adapting its movements with human-like fluidity, thanks to the kind of multimodal deep learning Dr. Mori champions. His pioneering efforts in conversational AI, particularly for applications like assisting dementia patients, highlight the empathetic dimension of his research. By developing robots that can engage in natural, supportive dialogue, Dr. Mori is contributing to solutions for pressing societal challenges, especially in aging populations. These conversational agents could provide companionship, facilitate cognitive exercises, and support caregivers, enhancing the well-being of vulnerable individuals. The ethical considerations he raises regarding AI reliability are also paramount as AI systems become more autonomous and integrated into sensitive areas of life, ensuring that technological progress is accompanied by responsible development. In 2025, discussions around ethical AI are more critical than ever, and Dr. Mori's contributions to this dialogue are invaluable. The predictive learning models developed by Dr. Mori enable robots to anticipate and react to unforeseen circumstances, making them more robust and reliable. This capacity for proactive adaptation is vital for deploying robots in unpredictable environments like disaster zones or complex manufacturing lines. It minimizes the need for constant human oversight, fostering greater autonomy and efficiency. In essence, Dr. Hiroki Mori's work transcends traditional robotics, integrating insights from neuroscience, cognitive science, and advanced machine learning to create truly intelligent and adaptive machines. His vision is not just about building smarter robots but about creating a future where AI and robotics augment human capabilities, address societal needs, and enrich lives. As 2025 unfolds, the trajectory of his research suggests continued breakthroughs that will shape the very fabric of our technologically advanced world, solidifying his legacy as a true architect of future intelligence.