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20212026
most citedDynamic collision avoidance for multiple robotic manipulators based on a non-cooperative multi-agent game

26 citations · 28 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Learning-Based Strategy for Composite Robot Assembly Skill Adaptation

Khalil Abuibaid, Aleksandr Sidorenko, Achim Wagner +1

Contact-rich robotic skills remain challenging for industrial robots due to tight geometric tolerances, frictional variability, and uncertain contact dynamics, particularly when us…

cs.RO2026★ 1 cited

Sustainable Transfer Learning for Adaptive Robot Skills

Khalil Abuibaid, Vinit Hegiste, Nigora Gafur +2

Learning robot skills from scratch is often time-consuming, while reusing data promotes sustainability and improves sample efficiency. This study investigates policy transfer acros…

cs.RO2025

Enabling Generic Robot Skill Implementation Using Object Oriented Programming

Abdullah Farrukh, Achim Wagner, Martin Ruskowski

Developing robotic algorithms and integrating a robotic subsystem into a larger system can be a difficult task. Particularly in small and medium-sized enterprises (SMEs) where robo…

cs.RO2025

Generative Grasp Detection and Estimation with Concept Learning-based Safety Criteria

Al-Harith Farhad, Khalil Abuibaid, Christiane Plociennik +2

Neural networks are often regarded as universal equations that can estimate any function. This flexibility, however, comes with the drawback of high complexity, rendering these net…

cs.RO2021★ 26 cited

Dynamic collision avoidance for multiple robotic manipulators based on a non-cooperative multi-agent game

Nigora Gafur, Gajanan Kanagalingam, Martin Ruskowski

A flexible operation of multiple robotic manipulators in a shared workspace requires an online trajectory planning with static and dynamic collision avoidance. In this work, we pro…