Socially compliant automated vehicles: new conceptual framework paves the way for safer mixed-traffic environments
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 30-Dec-2025 08:11 ET (30-Dec-2025 13:11 GMT/UTC)
Socially compliant automated vehicles (SCAVs) mark a new frontier in human-centric driving automation. Integrating sensing, socially aware decision-making, safety constraints, spatial-temporal memory, and bidirectional behavioral adaptation, the proposed framework aims for AVs to interpret, learn from, and respond to human drivers. By embedding social intelligence into automated driving systems, this research paves the way for vehicles that not only drive safely but also drive socially.
Nanyang Technological University, Singapore (NTU Singapore) and the leading global Motion Technology company Schaeffler have officially launched the next phase of their corporate laboratory partnership to drive research and innovation in AI-enabled humanoid robotics. Gracing the launch of the new Schaeffler-NTU Corporate Lab: Intelligent Mechatronics Hub today as Guest of Honour was Dr Tan See Leng, Minister for Manpower and Minister-in-charge of Energy and Science & Technology, Ministry of Trade and Industry. Located on NTU Singapore’s campus, the new 900-square-metre facility will contribute to Singapore’s strategic goal of strengthening advanced manufacturing and robotics. It marks another milestone in the collaboration between NTU and Schaeffler, which started in 2017.
New research, published in the Nature journal Scientific Reports, shows for the first time, that certain cognitive traits - such as curiosity - are the main factors playing a role in the exceptional ability of ‘label-learning dogs’ to recognise many objects by their name.
When gene transcription falls out of sync with other biological processes, that dysfunction can contribute to aging, cancer and other diseases. Researchers revealed how key regulatory proteins work in a precise hierarchy to meticulously adjust pacing during transcription. These regulatory proteins may now emerge as potential drug targets for a variety of disorders. The single-molecule platform that revealed these findings is a novel approach to studying similar processes that could have broad applications in biology.