arXiv (All)
open access
RoboGPU: Accelerating GPU Collision Detection for Robotics
Autonomous robots are anticipated to be deployed soon in domains ranging from transportation to healthcare and home assistance. Enabling autonomous robotics requires a computation platform flexible enough to execute a diverse and evolving collection of workloads while meeting real-time requirements.
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
- Exploiting Dependency and Parallelism: Real-Time Scheduling and Analysis for GPU Tasks#2742
- GPU-Accelerated Polygonal Signed Distance Functions for Real-Time Collision Avoidance#1131600
- DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT#612753
- DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT#611276
- Measuring the impact of virtualization and containerization on the environment when using GPUs for processing the AI models.#330760
Record · ID 1013516
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