Researchers gave participants face tattoos that can track when their brain is working too hard. The study introduces a non-permanent wireless forehead e-tattoo that decodes brainwaves to measure mental strain without bulky headgear. This technology may help track the mental workload of workers like air traffic controllers and truck drivers, whose lapses in focus can have serious consequences.
Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.
An ultra-light robotic prosthetic hand has been developed that enables both precision fingertip control and shape-adaptive gripping through simple motion commands. The hand features an innovative mechanism that allows two degrees of freedom in the thumb (adduction/abduction and flexion/extension) to be independently controlled by a single actuator, achieving exceptional user convenience and weight reduction.
In this case study, we focus on the autonomous mobile robot (AMR), which can navigate and perform tasks in active environments without direct human control. Safe navigation and obstacle avoidance are fundamentally important for AMRs in the workplace.
Interactive robots should not just be passive companions, but active partners—like therapy horses who respond to human emotion—say University of Bristol researchers.
The AAMAS 2025 best paper and demo awards were presented at the 24th International Conference on Autonomous Agents and Multiagent Systems, which took place from 19-23 May 2025 in Detroit. The Distinguished Dissertation Award was also recently announced. The winners in the various categories are as follows:
Best Paper Award
Winner
- Soft Condorcet Optimization for Ranking of General Agents, Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
Finalists
- Azorus: Commitments over Protocols for BDI Agents, Amit K. Chopra, Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh
- Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games, Chin-Wing Leung, Paolo Turrini, Ann Nowe
- Reinforcement Learning-based Approach for Vehicle-to-Building Charging with Heterogeneous Agents and Long Term Rewards, Fangqi Liu, Rishav Sen, Jose Paolo Talusan, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Ayan Mukhopadhyay, Abhishek Dubey
- Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints, Mohamed S. Talamali, Genki Miyauchi, Thomas Watteyne, Micael Santos Couceiro, Roderich Gross
Pragnesh Jay Modi Best Student Paper Award
Winners
- Decentralized Planning Using Probabilistic Hyperproperties, Francesco Pontiggia, Filip Macák, Roman Andriushchenko, Michele Chiari, Milan Ceska
- Large Language Models for Virtual Human Gesture Selection, Parisa Ghanad Torshizi, Laura B. Hensel, Ari Shapiro, Stacy Marsella
Runner-up
- ReSCOM: Reward-Shaped Curriculum for Efficient Multi-Agent Communication Learning, Xinghai Wei, Tingting Yuan, Jie Yuan, Dongxiao Liu, Xiaoming Fu
Finalists
- Explaining Facial Expression Recognition, Sanjeev Nahulanthran, Leimin Tian, Dana Kulic, Mor Vered
- Agent-Based Analysis of Green Disclosure Policies and Their Market-Wide Impact on Firm Behavior, Lingxiao Zhao, Maria Polukarov, Carmine Ventre
Blue Sky Ideas Track Best Paper Award
Winner
- Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition, François Olivier, Zied Bouraoui
Finalist
- Towards Foundation-model-based multiagent system to Accelerate AI for social impact, Yunfan Zhao, Niclas Boehmer, Aparna Taneja, Milind Tambe
Best Demo Award
Winner
- Serious Games for Ethical Preference Elicitation, Jayati Deshmukh, Zijie Liang, Vahid Yazdanpanah, Sebastian Stein, Sarvapali Ramchurn
Victor Lesser Distinguished Dissertation Award
The Victor Lesser Distinguished Dissertation Award is given for dissertations in the field of autonomous agents and multiagent systems that show originality, depth, impact, as well as quality of writing, supported by high-quality publications.
Winner
- Jannik Peters. Thesis title: Facets of Proportionality: Selecting Committees, Budgets, and Clusters
Runner-up
- Lily Xu. Thesis title: High-stakes decisions from low-quality data: AI decision-making for planetary health
Interactive robots should not just be passive companions, but active partners -- like therapy horses who respond to human emotion -- say researchers.
Specialized robots that can both fly and drive typically touch down on land before attempting to transform and drive away. But when the landing terrain is rough, these robots sometimes get stuck and are unable to continue operating.
Engineers have developed a real-life Transformer that has the 'brains' to morph in midair, allowing the drone-like robot to smoothly roll away and begin its ground operations without pause. The increased agility and robustness of such robots could be particularly useful for commercial delivery systems and robotic explorers.
Large language models (LLMs) -- the advanced AI behind tools like ChatGPT -- are increasingly integrated into daily life, assisting with tasks such as writing emails, answering questions, and even supporting healthcare decisions. But can these models collaborate with others in the same way humans do? Can they understand social situations, make compromises, or establish trust? A new study reveals that while today's AI is smart, it still has much to learn about social intelligence.
In a major leap forward for genetic and biomedical research, scientists have developed a powerful new artificial intelligence tool that can predict the 3D shape of chromosomes inside individual cells -- helping researchers gain a new view of how our genes work.
A new study in Nature describes both the mechanism and the material conditions necessary for superfluorescence at high temperature.
Engineers have developed a multifunctional, reconfigurable component for an optical computing system that could be a game changer in electronics.
Working with robots is becoming more common in the recycling industry, helping automate tasks and making complicated work easier. But training human employees to work with robots can be difficult and time-consuming.
In the ocean sciences, robots provide views of the unexplored and can navigate environments not safely accessible to humans. Such dangerous settings make up the majority of Earth's oceans.