Bridging the Reality Gap for Soft Robots

A new framework, SOFTMAP, leverages simulation and mesh alignment to enable accurate 3D modeling and control of deformable robotic manipulators.

A new framework, SOFTMAP, leverages simulation and mesh alignment to enable accurate 3D modeling and control of deformable robotic manipulators.
![Constructing a human-human conversation corpus through manual annotation presents significant cost and difficulty, particularly regarding direct annotations of collaborative interactions; therefore, a recursive approach-though time-consuming-establishes clearly defined boundaries, yielding a comparatively robust and comprehensive selection for surveying corpora focused on collaborative activity [latex]CollA[/latex].](https://arxiv.org/html/2603.19292v1/data_select_9.png)
A new review explores how analyzing human dialogue is unlocking deeper insights into the dynamics of successful teamwork.

As automated tools for understanding AI models become more prevalent, a critical question arises: how do we reliably measure their success?
![Across five datasets comprising 500 prompts each, this study demonstrates that three large language models exhibit varying degrees of both diversity and creativity in their responses, as assessed through [latex] (a.1)-(a.2) [/latex] metrics for diversity and [latex] (b.1)-(b.2) [/latex] metrics for creativity.](https://arxiv.org/html/2603.19519v1/x3.png)
New research demonstrates a method for large language models to move beyond predictable responses and generate truly diverse and imaginative outputs for open-ended inquiries.
A new review offers researchers a practical guide to navigating the complexities of large language models and their emerging capabilities.

A new method enables real-time 3D reconstruction of soft robots using only tactile sensing, eliminating the need for cameras and opening doors to more robust and adaptable robotic systems.

Researchers are leveraging the power of multi-agent systems and large language models to automatically generate clear, human-understandable explanations of complex AI decisions.

A new framework leverages the power of large language models and integrated sensor data to enable more effective multi-robot coordination within complex indoor spaces.

Researchers have developed a novel method to detect tables fabricated by artificial intelligence, addressing a growing threat to scientific integrity.

New research demonstrates how carefully crafted prompts in generative AI can move beyond simple answers and actively encourage users to critically examine complex problems.