GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Neural Control Barrier Functions for Safe Navigation

2024Marvin Harms, M. Kulkarni et al.

[2]

Adaptive Deep Neural Network-Based Control Barrier Functions

2024Hannah M. Sweatland, O. S. Patil et al.

[3]

Distributed Control Barrier Functions for Global Connectivity Maintenance

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"Develop an attentive graph neural network system for robust multi-robot collision avoidance and navigation in dynamic environments."

Multi-Agent Systems•Score: 7•View PDF ↗

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GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning

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References (28)

Founder's Pitch

"Develop an attentive graph neural network system for robust multi-robot collision avoidance and navigation in dynamic environments."

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GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning

BUILDER'S SANDBOX

Build This Paper

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Startup Essentials

References (28)

Founder's Pitch

"Develop an attentive graph neural network system for robust multi-robot collision avoidance and navigation in dynamic environments."

Commercial Viability Breakdown

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