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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Arpit Joon

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3 papers indexed here

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Conference Aug 2026

RL-Inspired Pairwise Path Selection for Multi-Agent Navigation

This paper presents an RL (Reinforcement Learning) inspired pairwise path selection framework for multi-agent navigation in an offline setting. Path performance is quantified using interaction metrics derived from artificial potential field (APF)-based collision avoidance, together with overall task completion time. Th...

Arpit Joon, Wojciech Kowalczyk, Shivam Goyal · 0 citations
Conference Aug 2026

Adjustable Stiffness of a Robot Formation Under Set-Point Control with Collision Avoidance Based on Artificial Potential Functions

Artificial Potential Functions (APFs) enable effective real-time collision avoidance in robotics but degrade formation integrity in dense multi-robot environments by displacing converged robots via repulsive fields from moving agents. This paper proposes a set-point controller augmented with APFbased collision avoidanc...

Wojciech Kowalczyk, Arpit Joon, Shivam Goyal · 0 citations
Open access Sep 2026

Formation-Preserving Control for Multi-Robot Systems: Experimental Validation

Artificial potential fields (APFs) are widely used for collision avoidance in robotic systems due to their simplicity and real-time performance. However, in cooperative environments, robots may undergo unnecessary displacements caused by repulsive forces from neighboring robots, even after reaching their target positio...

Wojciech Kowalczyk, Arpit Joon, P. Herman · 0 citations

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