Robotic systems are transforming image-guided interventions by enhancing accuracy and minimizing radiation exposure. A significant challenge in robotic assistance lies in surgical path planning, which ...

Don't miss the big stories. Like us on Facebook. Over the last few weeks the Brattleboro Select Board has taken important steps for financial health and stability in voting to: Restore funding for ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Cyngn developed a simulation environment using NVIDIA Isaac Sim to test autonomous vehicle software in high-fidelity digital warehouses. MOUNTAIN VIEW, Calif., Feb. 3, 2026 — Cyngn announced progress ...

Abstract: Path planning is fundamental for controlling orthopedic robots and vital in ensuring surgical safety. To address the problem of low path-planning efficiency in traditional path planning ...

The first time Isaac Averill saw snow, he couldn’t believe it. Growing up outside Perth, the capital city of Western Australia, winter never meant freezing temperatures or icy roads. Instead, it was ...

Revealing the challenges of artistic survival, this Passpartout video follows an oil painter navigating the Starving Artist Simulator. The gameplay combines calm painting with constant financial ...

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...

AGIBOT Innovation Technology Co. today introduced Genie Sim 3.0, a next-generation robot simulation platform powered by NVIDIA Isaac Sim, at CES 2026. The company said it delivers a unified, open ...