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Author

Wojciech Kowalczyk

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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

This paper presents a formation-preserving control strategy that suppresses such unnecessary motion while retaining the standard APF behavior when robots are far from their desired positions and establishes local exponential stability and positive invariance of a neighborhood of the desired configuration.

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

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