Robots That Reason: Building Smarter Action Systems

New research explores how combining the power of artificial intelligence with logical reasoning can create more capable and reliable robots.

New research explores how combining the power of artificial intelligence with logical reasoning can create more capable and reliable robots.

A new interface leverages artificial intelligence to help medicinal chemists move beyond traditional methods and efficiently generate compelling hypotheses for identifying promising drug targets.

Researchers have developed a new reinforcement learning framework that allows robots with vastly different body types to master complex manipulation tasks without relying solely on mimicking human movements.

Generative AI isn’t about creating autonomous intelligence, but rather amplifying the cognitive abilities of those who wield it.
![The study leverages three distinct robotic appearances, as defined by the ABOT framework [Phillips2018], to investigate the impact of physical embodiment on human-robot interaction.](https://arxiv.org/html/2512.11746v1/img/robots.png)
New research explores how a robot’s physical appearance influences our expectations of its explanations and whether we perceive it as simply processing information or exhibiting genuine mental capacity.

A new study demonstrates that artificial intelligence can demonstrably elevate the skills of novice users in a real-world laboratory setting, opening up critical questions about the future of work and biosecurity.

A new approach represents graph structures as sequences of instructions, opening the door for powerful language model processing and a more efficient, reversible transformation.

A new approach combines the generative power of diffusion models with traditional autoregressive techniques to achieve state-of-the-art results in image captioning.

Researchers have released PubTables-v2, a large-scale resource designed to advance the extraction of complex tables from scientific documents.

Researchers have developed a novel scene encoder that dramatically improves the efficiency and performance of autonomous vehicles by intelligently compressing data from multiple cameras.