arXiv (All)
open access
CRESSim-Neo: A Batched GPU Simulation Engine for Surgical Robotics and Robot Learning
We introduce CRESSim-Neo, a batched GPU simulation engine for surgical robotics and robot learning. CRESSim-Neo combines position-based simulation of rigid bodies, deformable tissues, fluids, and strands with batched rendering, surgery-specific sensing, and a GPU-resident data pipeline. The engine s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CRESSim-Neo: A Batched GPU Simulation Engine for Surgical Robotics and Robot Learning#809471
- Artificial intelligence-based approaches to augmenting and automating surgical training.#323168
- Machine learning meets real-time numerical simulation : application to surgical training, preoperative planning and surgical assistance#11576
- Retired medical simulation manikins as a development platform for physically assistive robots: a staged roadmap.#1091262
- Regulatory Affairs of Surgical Robots#70017
Record · ID 819467
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive