Robotics

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

 Presentation of the best paper award at the RoboCup 2025 symposium. An important aspect of autonomous soccer-playing robots concerns accurate detection of the ball. This is the focus of work by Can Lin, Daniele Affinita, Marco Zimmatore, Daniele Nardi, Domenico Bloisi, and Vincenzo Suriani, which won the best paper award at the recent RoboCup symposium. …

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Apertus: a fully open, transparent, multilingual language model

 By Melissa Anchisi and Florian Meyer In July, EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS) announced their joint initiative to build a large language model (LLM). Now, this model is available and serves as a building block for developers and organisations for future applications such as chatbots, translation systems, or educational tools. …

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Robots to the rescue: miniature robots offer new hope for search and rescue operations

 Small two-wheeled robots, equipped with high-tech sensors, will help to find survivors faster in the aftermath of disasters. © Tohoku University, 2023. By Michael Allen In the critical 72 hours after an earthquake or explosion, a race against the clock begins to find survivors. After that window, the chances of survival drop sharply. When a …

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#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

 Image provided by the authors – generated using Gemini. For many of us, artificial intelligence (AI) has become part of everyday life, and the rate at which we assign previously human roles to AI systems shows no signs of slowing down. AI systems are the crucial ingredients of many technologies — e.g., self-driving cars, smart …

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Researchers are teaching robots to walk on Mars from the sand of New Mexico

 Scientists and robot at White Sands National Park. By Sean Nealon Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars after five days of experiments this month at White Sands National Park in New Mexico. The national park is serving as a Mars analog environment and the scientists …

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Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

 In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, Haimin Hu tells us about his research on the algorithmic foundations of human-centered autonomy and his plans for future projects, and gives some advice for PhD students looking to take the …

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AIhub coffee corner: Agentic AI

 The AIhub coffee corner captures the musings of AI experts over a short conversation. This month we tackle the topic of agentic AI. Joining the conversation this time are: Sanmay Das (Virginia Tech), Tom Dietterich (Oregon State University), Sabine Hauert (University of Bristol), Sarit Kraus (Bar-Ilan University), and Michael Littman (Brown University). Sabine Hauert: Today’s …

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Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

 In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Kate Candon is a PhD student at Yale University interested in understanding how we can create interactive agents that are more effectively able to help people. We spoke to Kate to find out more about …

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