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Autonomous Systems

Design, develop, and test autonomous systems with MATLAB

다음에 대한 결과: 2026

Robots That Adapt at Run Time Across Changing Configurations

Robotic systems are often required to operate in environments that change during operation. This may include switching tools, updating workspace layouts, or handling new tasks. To support this,… 더 읽어보기 >>

Generating Synthetic Data for Urban Autonomy with Intersection-Centered Traffic Model

Developing ADAS and Automated Driving systems for urban environments is a high-stakes challenge. Intersections are particularly difficult to validate because autonomous vehicles must navigate complex… 더 읽어보기 >>

Modeling Starts With the Question – On model fidelity, abstraction, and engineering judgement 1

Guest BloggerGeorge Amarantidis Koronaios is a Developer Advocate at MathWorks. He focuses on technical engagement with the engineering community, with an emphasis on Design Automation workflows and… 더 읽어보기 >>

Scalable Actor Behavior Design for Randomized Traffic in RoadRunner

The previous post introduced a MATLAB-based traffic swarm framework capable of generating randomized ambient traffic with configurable safety and behavioral parameters. Realistic traffic scenarios… 더 읽어보기 >>

Leveraging RoadRunner to Support NVIDIA’s Synthetic Data Generation Workflow by Creating Realistic Traffic Scenarios

NVIDIA has recently introduced a Synthetic Data Generation (SDG) workflow for traffic scenarios, enabling the creation of photorealistic synthetic traffic videos using Cosmos models, such as Cosmos… 더 읽어보기 >>