Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
CVPR 2026 fields 16,000+ paper submissions on technical advances in AI
The program committee for the 2026 Conference on Computer Vision and Pattern Recognition (CVPR), a premier event in artificial intelligence and computer vision research, has unveiled the details of this year's technical program. Co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, the conference has attracted a record number of submissions, reflecting the growing interest and advancements in the field. Scheduled to take place in 2026, CVPR will serve as a platform for researchers and industry professionals to share their latest findings and innovations. The committee's announcement highlights the importance of collaboration and knowledge exchange in advancing computer vision technologies.
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CVPR 2026 Showcases How AI Is Powering the Next Era of Robotics Innovation
The 2026 Conference on Computer Vision and Pattern Recognition (CVPR) is set to take place from June 3 to June 7 at the Colorado Convention Center in Denver, Colorado. This premier event, co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, will showcase groundbreaking advancements in artificial intelligence (AI) and robotics, highlighting how these technologies are transforming real-world applications. With a focus on embodied AI, multi-modal AI, and robotic perception, CVPR 2026 will feature workshops, technical paper presentations, and competitions, including the ManipArena Competition, which challenges participants to demonstrate physical reasoning and decision-making in real-world tasks. The conference aims to illustrate the rapid innovation in robotics and automation, with over 75% of the expo dedicated to leading AI and robotics companies that have collectively invested heavily in the field. As the global robotics market is projected to reach $124.37 billion this year, industry leaders will gather to discuss the implications of AI advancements on productivity and human-machine interaction. Grace A. Lewis, President of IEEE CS, emphasized the conference's role in bringing AI's potential to life, showcasing how these technologies are poised to reshape various industries. Media registration for the event is currently open, inviting participants to explore the future of intelligent machines.
IEEE Honors Robotics Pioneer Toshio Fukuda
Toshio Fukuda has been blazing trails for most of his career. He is considered to be one of the most prolific scholars in robotics, writing more than 2,000 research papers and authoring several books on the field. He’s an influential figure thanks to his pioneering work developing biomedical robotic systems, industrial robots, micro-nano robotics, mechatronics, and AI-driven automation.Fukuda launched one of the first robotics conferences, the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). It is still popular almost 40 years later.Toshio FukudaEmployerEgypt-Japan University of Science and Technology, in Alexandria TitleProfessor and vice president of research Member gradeLife Fellow Alma matersWaseda University, in Tokyo; University of Tokyo An IEEE Life Fellow, he is a professor emeritus in the department of micro-nano systems engineering and a visiting professor at Nagoya University, in Japan, where he taught for nearly 25 years. Currently, he is a vice president of research at the Egypt-Japan University of Science and Technology, in Alexandria, Egypt.Within IEEE, Fukuda has held top volunteer positions including the organization’s highest office: He served as IEEE president in 2020, becoming the first person of Asian descent to hold the role.He’s a former program director of Japan’s Moonshot program, which by 2050 intends to develop advanced AI robots.Born in Japan, Fukuda has been recognized by the country for his contributions to science with two of its highest awards: the Medal of Honor with a purple ribbon in 2015 and the Order of the Sacred Treasure in 2022.IEEE honored him with this year’s Richard M. Emberson Award for “distinguished service advancing the technical objectives of IEEE, especially in the area of robotics.” The IEEE Board-level award is sponsored by the IEEE Technical Activities Board. Fukuda received the award on 24 April at a ceremony in New York City.As a former IEEE president who has served as a master of ceremonies at several of the organization’s major award events, Fukuda noted that he is more accustomed to bestowing awards than receiving them.“It’s very interesting to be on the receiving end,” he says.The journey into robotics researchAs a teenager, Fukuda spent his summer breaks teaching himself how to build things including transistor radios and steam engines.“It was very nice to have a hands-on hobby and make these kinds of things myself,” he says. His experimentation led him to study engineering.He earned a bachelor’s degree in engineering in 1971 from Waseda University, in Tokyo. He says one of his professors there—Ichiro Kato, regarded as the father of Japanese robotics research—was a good mentor who made a positive impact.Fukuda’s research interests were robotics and mechatronics, a field that combines robotics, electronics, computer science, and control systems.He went on to earn a master’s degree and a doctorate in science from the University of Tokyo, in 1971 and 1977. During those years, he also attended Yale, where he conducted research on advanced control theory in 1973.He reflects fondly on his time at Yale: “It was a very nice environment and a kind of free-thinking atmosphere. It motivated me to study more.”“IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.”While at Yale, Fukuda served as an assistant to his advisor—which led him to consider a career in academia, he says, because he enjoyed the freedom that research work afforded him.But he realized that such freedom comes with a price. University researchers are expected to raise the money that funds their work. He compares researchers to small-business owners who have to bring in money to keep their enterprise afloat.That realization led him to select robotics as his field because he intended to develop technologies useful to industry, he says.After earning his doctorate, he returned to Japan in 1977 to work as a research scientist at the government’s Mechanical Engineering Laboratory, later renamed the National Institute of Advanced Industrial Science and Technology, in Tsukuba.“There was a lot of research going on at the lab, including practical robotics and theory,” he says.He left Japan in 1979 to become a visiting research fellow at the University of Stuttgart, in Germany. During his year there, he studied systems, software problems, and related topics.He returned to Japan and was hired as an associate professor of mechanical engineering at the Tokyo University of Science. He conducted research into practical uses for robots by visiting industrial plants. He decided to develop robots that inspect industrial equipment such as those used in assembly plants, oil refineries, and power stations—places that “can be hostile environments for humans,” he says.His work drew interest from chemical, oil, and utility companies.“I got a lot of money from them for this very practical application, which funded my research,” he says, laughing.Developing popular robotic systemsFukuda grew tired of making those robots, he says, so he switched to creating ones for scientific applications. He developed many techniques, but he probably is best known for his modular, cellular robotic systems (CEBOTs), which he introduced in 1985.He has described how CEBOTs work in numerous papers published in the IEEE Xplore Digital Library.The CEBOT system is composed of a number of autonomous robotic cells that stick together like interlocking Lego plastic bricks, he says.Each cell is a fundamental modular unit that has a function. When a simple task is given, the system can analyze it and generate the structure of the cellular manipulator. The cells connect to and detach from each other through connection mechanisms and cooperate mutually, creating complex structures and configurations.“You start developing from the component-wise to the cell-wise to a small functional unit—and then you come up with clusters that make bigger systems. We can make a society of robot beings like that,” he explained in his oral history published on the Engineering and Technology History Wiki. “It’s a distributed robotic system, a self-organized robotic system, and also an evolutionary robotic system.“It’s also a fault-tolerant robot system because if something is wrong, you just remove those things and make a new one. You keep the system working. That’s a great thing.”Today CEBOTs are used for a variety of tasks such as delivering medication in hospitals, assisting with planting crops, and transporting products in distribution centers. Check out IEEE Spectrum’s Robots Guide for news from the world of robotics.In 1989 Fukuda joined Nagoya University as a professor of mechanical engineering and micro-nano systems engineering. During his 24-year career there, he was director of the university’s Center for Micro-Nano Mechatronics. He developed a long list of technologies at the university, including many for medical applications. He also conducted groundbreaking research into intelligent robotic systems and micro- and nano-robotics.Another technology he is known for is brachiation robots, which he helped develop in 1988. He calls them monkey robots because they’re based on the pendulum-like movement of monkeys swinging from tree to tree. The gravity-based locomotion enables continuous movement.Brachiation robots now are inspecting high-voltage transmission towers and bridges, searching damaged buildings for survivors, and performing maintenance on pipelines and cables.Fukuda retired from the university in 2013 and was named professor emeritus.He didn’t stay retired for long, though. He next held a teaching appointment at Meijo University, in Nagoya, until he left in 2022 to join the Egypt-Japan University.A prominent volunteerHe joined IEEE in 1980 at the encouragement of one of his research advisors, Professor Fumio Harashima, now an IEEE Life Fellow. After attending conferences and reading the organization’s publications, Fukuda says, he looked forward to becoming more involved.“I wanted to know how to organize a conference and how to edit a paper for one of its Transactions,” he says. “I wanted to know what was going on from inside the organization, not just the outside.”In 1988 he was the founding chair and organizer of IROS, in Tokyo. The conference had 330 attendees that year, and was supported by Harashima. Today it is one of the largest and most prestigious conferences on the topic, attracting more than 9,000 people annually. Out of 120,000 conferences, it was the only conference in the Nature Index database for this year, Fukuda says.In 1996 he and other members launched IEEE Transactions on Mechatronics.He was the founding president of the IEEE Nanotechnology Council, which was established in 2002. He is considered a pioneer in nanotechnology research, particularly regarding how it relates to robotics.Over the years, he has held numerous volunteer positions on IEEE editorial boards and committees.He was the 1998–1999 president of the IEEE Robotics and Automation Society, becoming the first non-U.S. member to hold the title.He was director of IEEE Division X (2001–2002 and 2017–2018), which covers intelligent systems, biological engineering, robotics, control systems, and photonic technologies. He served as the 2013–2014 director of IEEE Region 10 (Asia-Pacific).As the 2020 IEEE president, Fukuda saw the organization through the early part of the COVID-19 pandemic. Because of travel restrictions, he realized IEEE should change how it offered its in-person services, specifically educational programs. He encouraged IEEE Educational Activities to develop an online learning platform. The IEEE Learning Network started with just three courses and now offers nearly 2,000 courses, webinars, and learning materials.An award-winning memberThe Emberson Award joins a slew of other recognitions Fukuda has received from IEEE. They include several from the IEEE Robotics and Automation Society: a 2004 Pioneer Award, a 2009 Saridis Leadership Award, and the 2011 Harashima Award for Innovative Technologies. He is also a recipient of the Board-level 2010 IEEE Robotics and Automation Technical Field Award.He says he feels strongly that IEEE should be a diverse organization that is welcoming to all. As IEEE president, he led efforts to devise a diversity, equity, and inclusion program. Several policies, procedures, and bylaws were revised to give members a safe, inclusive place for discourse.“It’s important for IEEE to make everyone feel comfortable,” he says. “DEI programs are important. All people should be equal. IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.“It accepted me, from the Far East. That’s why I like it.”You can learn more about Fukuda and his career from the oral history conducted by the IEEE History Center.
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Fusion to quantum: 9 projects lined up for US’ new Discovery supercomputer
America's next major exascale supercomputer, named Discovery, is set to tackle its inaugural scientific challenges. This advanced computing system, which represents a significant leap in processing power, is designed to handle complex simulations and data analysis that were previously unattainable. Scheduled to begin operations in the coming months, Discovery will be located at Oak Ridge National Laboratory in Tennessee. The motivation behind developing such a powerful supercomputer stems from the need for enhanced computational capabilities to address pressing scientific questions and accelerate research across various fields, including climate modeling, drug discovery, and materials science. By leveraging its unprecedented speed and efficiency, researchers aim to gain deeper insights and make breakthroughs that could have far-reaching implications for both science and society. The operationalization of Discovery involves collaboration among leading scientists and engineers who will utilize its capabilities to run extensive simulations and analyze large datasets. This initiative not only underscores America's commitment to maintaining leadership in high-performance computing but also highlights the growing importance of advanced technology in solving some of the world's most complex challenges.
AI and Robotics
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
In June 2026, the Journal of Field Robotics published a comprehensive study exploring advancements in robotic technologies and their applications in various fields. The research, conducted by a team of experts in robotics and engineering, highlights innovative methodologies that enhance the efficiency and effectiveness of robotic systems. The study focuses on the integration of artificial intelligence and machine learning algorithms, which significantly improve the decision-making capabilities of robots in real-world environments. This advancement is particularly relevant in sectors such as agriculture, manufacturing, and disaster response, where precision and adaptability are crucial. The findings were presented during a conference held in a prominent robotics research hub, attracting attention from industry leaders and academic scholars alike. The motivation behind this research stems from the growing demand for automation and smart technologies in response to global challenges, including labor shortages and the need for increased productivity. By employing rigorous testing and validation processes, the researchers demonstrated the practical applications of their robotic systems, showcasing successful case studies that underline the potential for widespread adoption. The publication aims to inform and inspire further innovations in the field, ultimately contributing to the evolution of robotics as a transformative force in society.
SURVEY ARTICLE
Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer
As discussions around the implications of superintelligence continue to evolve, experts are calling for the establishment of comprehensive legal frameworks to govern its development and deployment. This dialogue gained momentum in October 2023, as researchers and policymakers convened at an international conference focused on artificial intelligence ethics in San Francisco. The urgency for regulation stems from concerns about the potential risks associated with superintelligent systems, which could surpass human intelligence and decision-making capabilities. Advocates argue that without clear legal guidelines, the unchecked advancement of such technologies could lead to unintended consequences, including ethical dilemmas and safety hazards. To address these challenges, participants at the conference proposed a series of recommendations aimed at ensuring responsible innovation. These include the creation of regulatory bodies tasked with overseeing AI development, the establishment of ethical standards for AI applications, and the implementation of safety protocols to mitigate risks. The discussions highlighted the need for collaboration between technologists, ethicists, and lawmakers to craft effective policies that balance innovation with public safety. As the field of artificial intelligence continues to progress rapidly, the call for proactive legal measures reflects a growing recognition of the profound impact superintelligence could have on society.
ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
As artificial intelligence continues to evolve, experts are raising concerns about its potential to disrupt political systems globally. A recent discussion among political analysts and technologists highlighted the possibility of an unprecedented political interregnum driven by AI advancements. This conversation gained momentum in October 2023, as various stakeholders, including policymakers and industry leaders, began to assess the implications of AI on governance and societal structures. The rapid integration of AI technologies into everyday life is prompting fears that traditional political frameworks may struggle to adapt, leading to instability and uncertainty. Analysts argue that the increasing reliance on AI for decision-making processes could undermine democratic institutions, as algorithms may not reflect the complexities of human values and ethics. In response to these concerns, experts are advocating for proactive measures to ensure that AI development aligns with democratic principles. They emphasize the need for transparent regulations and ethical guidelines to mitigate potential risks associated with AI's influence on political landscapes. The discourse around AI's role in shaping future governance is expected to intensify as the technology continues to advance, prompting a reevaluation of how societies govern themselves in an increasingly automated world. As the debate unfolds, the urgency for a collaborative approach among technologists, policymakers, and civil society becomes clear, aiming to harness the benefits of AI while safeguarding democratic integrity and social cohesion.
Award-Winning Researcher Trains Robots to Make Educated Guesses
Yen-Ling Kuo, an assistant professor of computer science at the University of Virginia, has been recognized for her significant contributions to robotics and automation. Last year, she received the IEEE Robotics and Automation Society’s inaugural Outstanding Women in Robotics and Automation Early Career Contribution Award for her paper, “Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation.” This innovative research introduces a method that enhances robots' ability to identify and manage uncertainty during unfamiliar tasks, thereby reducing the need for human supervision and increasing task completion rates. Kuo’s journey began in Taiwan, where her fascination with science and technology was sparked by early exposure to programming and computer logic. After earning her degrees from National Taiwan University and MIT, she gained practical experience at Google, where she contributed to AI-driven shopping technologies. This experience motivated her to pursue a Ph.D. to deepen her understanding of neural networks. Her current research focuses on developing computational models that enable robots to interpret both explicit data and subtle social cues, aiming to replicate human-like reasoning in machines. Kuo's work has garnered attention from the National Science Foundation, which awarded her a five-year Career Award to support her research on human-robot interactions. As robotics and autonomous vehicles become more prevalent, Kuo envisions creating robots that can seamlessly integrate into social environments, enhancing human-robot collaboration.
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Exploring the societal impacts of AI
At the recent AI and Society Forum, prominent researchers from the Massachusetts Institute of Technology (MIT) engaged in an in-depth discussion regarding the impact of artificial intelligence on employment and democratic processes. The forum, held in October 2023, served as a platform for experts to address pressing concerns about how AI technologies are reshaping job markets and influencing political systems. The motivation behind this dialogue stems from the rapid advancements in AI and the need to understand their broader societal implications. Researchers presented findings and insights on the potential benefits and challenges posed by AI, emphasizing the importance of developing strategies to mitigate risks while harnessing the technology's capabilities. Through collaborative discussions, the forum aimed to foster a greater understanding of AI's role in shaping the future of work and governance.
Special events and guest speakers Artificial intelligence Technology and society Computer science and technology Economics Democracy
Emily Bender Sets the Record Straight on “Stochastic Parrots”
In March 2021, a notable paper titled “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” was published by a team of four linguists and computer scientists, including Timnit Gebru and Margaret Mitchell, shortly after their controversial dismissal from Google. The paper critiques large language models, suggesting they generate text through statistical predictions rather than genuine understanding, coining the term "stochastic parrot" to illustrate this concept. As the analogy gained traction beyond academia, it sparked debates and inspired projects, including a shoulder-mounted robot named the Stochastic Parrot. On the five-year anniversary of the paper, lead author Emily M. Bender, a professor at the University of Washington, addressed common misconceptions surrounding the term in a recent blog post and an interview with IEEE Spectrum. Bender emphasized that the phrase specifically refers to large language models and not to all forms of artificial intelligence, which she believes oversimplifies the technology and complicates discussions about its implications. She highlighted the importance of clear terminology in understanding and regulating technology, noting that many discussions conflate different AI applications, such as chatbots and protein folding algorithms. Bender also acknowledged that the paper overlooked significant issues, such as exploitative labor practices in data collection, which she now believes should have been included. The ongoing discourse around language models continues to evolve, reflecting the complexities of artificial intelligence and its societal impact.
Emily-bender Large-language-models Llms Ai-ethics
Commemorating 70 Years of Artificial Intelligence
Artificial intelligence (AI), a transformative technology of the 21st century, is reshaping various aspects of life and has seen unprecedented adoption rates since its formal establishment in 1956 at the Dartmouth Summer Research Project. Pioneers like John McCarthy and Marvin Minsky introduced the concept, envisioning machines that could simulate human intelligence. Over the past 70 years, AI has evolved significantly, impacting fields such as business, education, healthcare, and military applications. The journey of AI has been marked by innovation and setbacks, including periods known as "AI winters," where interest and funding waned. However, a resurgence in the 2010s, driven by advances in deep learning and generative AI, has led to the development of sophisticated systems like ChatGPT, which was publicly released in 2022. This evolution has enabled AI to perform cognitive tasks at unprecedented speeds, automate processes, and enhance creativity. Despite its advantages, AI poses significant risks, including biased outputs, privacy concerns, and the potential for misinformation. The IEEE has played a crucial role in guiding AI's development, promoting ethical standards, and fostering research through publications and conferences. As AI continues to advance, the focus remains on ensuring it is human-centered and beneficial for society, emphasizing the need for responsible governance and informed decision-making. The future of AI will depend on the choices made today, as the technology's trajectory is shaped by collective actions and ethical considerations.
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Pathak Receives 2026 PAMI Young Researcher Award
Deepak Pathak, a Raj Reddy Associate Professor of Robotics at Carnegie Mellon University’s Robotics Institute, has been honored with the 2026 Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. This prestigious accolade was presented during the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), a leading event in the field. The award is one of the highest recognitions for early-career researchers in computer vision, acknowledging Pathak's significant contributions to the discipline. The recognition not only highlights his innovative work but also underscores the importance of fostering new talent in advancing technology and research in robotics and computer vision.
Announcements Awards
Video Friday: Who Wins in Robot Versus Pro Ping-Pong Player?
In a recent showcase of advancements in robotics, IEEE Spectrum highlighted several innovative developments and upcoming events in the field. Notably, Sony AI's latest research, featured on the cover of Nature, explores the potential of high-speed autonomous systems to master complex perception and dynamic control, aiming to compete with professional athletes. Among the exciting projects is the Ringbot Quad, a unique monocycle robot that integrates wheeled and legged locomotion, allowing it to navigate diverse terrains by switching between driving and walking modes. Meanwhile, in a significant milestone for China's robotics industry, humanoid robots outpaced human runners in a half-marathon in Beijing, with three robots finishing ahead of 12,000 participants. Other highlights include AthenaZero, a robot capable of juggling using only on-board sensory feedback, and advancements from the Max Planck Institute for Intelligent Systems, which reported a method to enhance the efficiency of soft electrostatic actuators, achieving conversion rates of up to 63.6%. As the field continues to evolve, discussions at Carnegie Mellon University emphasize the implications of Artificial General Intelligence (AGI) for society, proposing a future where humans collaborate with robots in supervisory roles, potentially transforming essential services and labor dynamics. Upcoming robotics events include ICRA 2026 in Vienna and the Summer School on Multi-Robot Systems in Prague, offering platforms for further exploration and innovation in robotics.
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The USC Professor Who Pioneered Socially Assistive Robotics
Maja Matarić, a professor at the University of Southern California, has been a pioneering force in the field of socially assistive robotics since co-defining the area in 2005. Her work focuses on developing robots that provide personalized therapy and support through social interactions, particularly for individuals with anxiety, depression, and autism spectrum disorder. Matarić's research has led to the creation of robots like Bandit, which helps children with autism improve communication skills, and Blossom, designed to assist students in practicing cognitive behavioral therapy (CBT). Recently, Matarić was honored with the 2025 Robotics Medal from MassRobotics, recognizing her contributions to advancing robotics. The award ceremony took place in Boston, where she expressed her joy and gratitude for the support of her peers. Matarić's journey began in Belgrade, Serbia, and she credits her family for inspiring her interest in engineering and computer science. Her current research includes a clinical trial funded by the U.S. National Institute of Mental Health, exploring the effectiveness of Blossom in delivering CBT to students. The trial involves 120 participants and aims to assess the robot's ability to adapt to individual user preferences while measuring their mental health outcomes. Matarić emphasizes the importance of combining engineering with psychology in her work and encourages her students to engage with professional communities like IEEE, which she joined as a graduate student in 1992.
Ieee-member-news Robots Socially-assistive-robotics Mental-health Ieee-robotics-and-automation-soc Type-ti
Video Friday: Humans and Robots Team Up in Battlefield Triage
IEEE Spectrum robotics has released its latest edition of "Video Friday," showcasing a collection of innovative robotics videos and a calendar of upcoming robotics events. Among the featured highlights is the Lynx M20 quadruped robot, which successfully completed a field test in extreme cold conditions in Yakeshi, Hulunbuir, demonstrating its reliability in temperatures as low as -30°C. Additionally, a teaser video from KIMLAB presents a new teleoperation robot, set against the backdrop of the University of Illinois at Urbana-Champaign's Main Quad, where students enjoy the serene environment. The publication also includes commentary on the practicalities of using humanoid robots for specific tasks, emphasizing that just because a humanoid can perform a task, it does not necessarily mean it should. Other notable mentions include an autonomous urban delivery robot and the development of CLIO, an embodied tour-guide robot created by an undergraduate team at the University of Hong Kong, which utilizes advanced technologies such as large language models and computer vision to enhance visitor experiences. This weekly roundup not only highlights the advancements in robotics but also encourages collaboration and engagement between researchers and the public, reflecting the ongoing evolution of the field.
Robotics Video-friday Darpa Human-robot-interaction Quadruped-robots Humanoid-robots
EVENT: OCEANS Sanya - May 25-28, 2026
The OCEANS 2026 conference is set to take place in Sanya, bringing together marine technologists, engineers, students, government officials, lawyers, and advocates from around the globe. Scheduled for four days, this annual event will feature industry thought leaders discussing relevant topics and current trends in marine research and policy. As a premier partner event of the IEEE Oceanic Engineering Society, OCEANS 2026 aims to foster a community of learners and influencers dedicated to advancing practices and policies in the marine field. The gathering serves as a platform for collaboration and innovation, addressing the pressing challenges and opportunities within the industry.
events oceans 2026 sanya
Robotics Alum Earns PAMI Young Researcher Honorable Mention
Ishan Misra, a 2018 Ph.D. graduate from Carnegie Mellon University's Robotics Institute, has been recognized with an honorable mention for the 2025 Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. This accolade was presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), highlighting his significant contributions to the field of computer vision as an early career researcher. Currently serving as a director, Misra's achievements underscore the impact of his work in advancing robotics and machine learning technologies.
Awards
Ioannis Gkioulekas Recognized as Bodossaki Distinguished Young Scientist
Ioannis Gkioulekas, an associate professor at the Robotics Institute within Carnegie Mellon University's School of Computer Science, has been honored with the 2025 Bodossaki Distinguished Young Scientist award for his significant contributions to the field of Applied Sciences and Technologies, specifically in Artificial Intelligence. This prestigious recognition, awarded by the Bodossaki Foundation, aims to highlight individuals whose work positively impacts Greek society and aligns with the foundation's strategic goals, including the promotion of education and technological advancement. Gkioulekas's achievements underscore the importance of innovation in AI and its potential to drive societal progress.
Awards
Howie Choset Elected AAAS Fellow
Howie Choset, a prominent figure in robotics and the Kavčić-Moura Professor of Computer Science at Carnegie Mellon University, has been elected as a fellow of the American Association for the Advancement of Science (AAAS) for 2024. This prestigious recognition highlights his significant contributions to the field of robotics. The AAAS, known as the world's largest general scientific society and publisher of the Science family of journals, honors individuals who have made notable advancements in various scientific disciplines. Choset's election underscores his impact on the field and reflects the ongoing advancements in robotics research.
Awards Research
Takeo Kanade Among 2024 John Scott Award Recipients
Takeo Kanade, a distinguished professor of computer science and robotics at Carnegie Mellon University, has been honored with the 2024 John Scott Award, an accolade that celebrates significant contributions to the field of robotics. This prestigious award, established in 1815 by Scottish chemist John Scott to commemorate Benjamin Franklin, recognizes Kanade alongside two other prominent figures in robotics research. The award highlights their groundbreaking work that has significantly advanced the discipline, underscoring the importance of innovation in technology and its impact on society.
Awards
Miller and co-authors receive award at CVPR 2024
Bailey Miller, a PhD student in computer science, along with co-authors Hanyu Chen, Alice Lai, and Ioannis Gkioulekas, has been recognized with an honorable mention for best student paper at the 2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), which took place in Seattle, Washington. Their award-winning paper, titled “Objects as volumes: A stochastic geometry view of opaque solids,” presents a novel theoretical framework aimed at enhancing the understanding of opaque solids through the lens of stochastic geometry. This recognition highlights the innovative contributions of the authors to the field of computer vision and pattern recognition.
Uncategorized
MIT affiliates win 2026 Hertz Foundation Fellowships
A new fellowship program has been launched to support doctoral students in applied sciences, engineering, and mathematics who are dedicated to addressing critical challenges in science and technology. This initiative aims to recognize and empower emerging researchers who are developing innovative solutions to pressing issues. The program is designed to enhance the educational and research opportunities for these students, providing them with the resources necessary to advance their work. By fostering a new generation of scientists and engineers, the fellowship seeks to contribute to the advancement of knowledge and technology, ultimately benefiting society as a whole. The initiative is expected to play a significant role in shaping the future of scientific research and technological development.
Awards, honors and fellowships Students Graduate, postdoctoral Alumni/ae Chemistry Mechanical engineering
Six from MIT awarded 2026 Paul and Daisy Soros Fellowships for New Americans
A new fellowship has been established to recognize and support the contributions of immigrants to American society by providing $90,000 in funding for graduate studies. This initiative aims to highlight the vital role that immigrants play in various sectors and to encourage further academic pursuits among this demographic. The fellowship will be available to eligible candidates starting in the upcoming academic year, with applications opening next month. By investing in the education of immigrant students, the program seeks to foster a more inclusive and diverse academic environment, ultimately benefiting the broader community. The funding will assist recipients in covering tuition and related expenses, enabling them to focus on their studies and future contributions to society.
Awards, honors and fellowships Students Graduate, postdoctoral Alumni/ae Immigration Biology
Toward a future that preserves benefits of neurotechnology for all
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Contests and academic competitions Awards, honors and fellowships Students Artificial intelligence Ethics Law
MIT student teams win top honors in NASA competition
Three teams from the Massachusetts Institute of Technology (MIT) achieved remarkable success in the 2026 NASA RASC-AL Competition, securing five prestigious awards for their innovative designs aimed at supporting lunar bases and future Mars missions. This competition, which focuses on developing critical technologies for space exploration, highlights the importance of advanced engineering and creative problem-solving in addressing the challenges of extraterrestrial habitats. The event took place recently, showcasing the efforts of students and faculty who are dedicated to pushing the boundaries of space science and exploration. The recognition of these teams underscores MIT's commitment to fostering cutting-edge research and development in aerospace technology, paving the way for future missions that could expand human presence beyond Earth.
School of Engineering MIT Sloan School of Management Aeronautical and astronautical engineering EAPS Electrical engineering and computer science (EECS) Nuclear science and engineeringRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
