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Neurosim simulator boosts robotic perception with ~2700 FPS GPU performance

Researchers have developed Neurosim, a high-performance simulator for robotic perception that can achieve frame rates up to ~2700 FPS on a desktop GPU. It supports various sensors like dynamic vision sensors, RGB cameras, and depth sensors, along with agile vehicle dynamics. Neurosim integrates with Cortex, a communication library for seamless machine learning and robotics workflows, enabling both training and real-time testing of algorithms. AI

IMPACT Enables faster training and testing of neuromorphic perception and control algorithms for robots.

RANK_REASON This is a research paper describing a new simulator for robotics. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Neurosim simulator boosts robotic perception with ~2700 FPS GPU performance

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This is a research paper describing a new simulator for robotics. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Richeek Das, Pratik Chaudhari ·

    Neurosim: A Fast Simulator for Neuromorphic Robot Perception

    arXiv:2602.15018v2 Announce Type: replace-cross Abstract: Neurosim is a fast, real-time, high-performance library for simulating sensors such as dynamic vision sensors, RGB cameras, depth sensors, and inertial sensors. It can also simulate agile dynamics of multi-rotor vehicles i…