Cooperative Load Manipulation with Three 3R Robot Arms: Emergent Force Sharing via Lotka–Volterra Ecological Dynamics Under Virtual Impedance Control

This paper presents a novel control architecture for cooperative load manipulation using three 3R serial robot arms arranged symmetrically around a shared payload. The major contribution of this paper to existing literature is the use of a competitive ecological model as the force-sharing mechanism. In this approach, each robot is treated as a species competing for a common resource, and the inter-species interaction matrix governs how the 150 N total load is distributed among the three agents at every instant. The Lotka-Volterra dynamics feed into a virtual impedance layer in which an emergent load trajectory P(t) evolves according to a mass–damper equation driven by the net end-effector forces. Joint trajectories are resolved at each time step through a Jacobian inverse kinematics solver with exponential moving average warm-start, and a low-pass filter on the Lotka-Volterra output suppresses transient oscillations. The result is a fully closed-loop system in which the load’s spatial trajectory is not prescribed but emerges from the collective force dynamics. A key property of the architecture is its self-regulated disturbance recovery: when a sigmoid-ramped perturbation reduces the dominant robot’s effective force contribution between t = 12 s and t = 14 s, the ecological competition naturally redistributes load across the remaining agents without any explicit re-planning or supervisory intervention. This self-regulating behavior arises directly from the limit-cycle structure of the Lotka-Volterra equilibrium.

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Publication Details

Journal
Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri Dergisi
Published
2026-06-30
DOI
https://doi.org/10.34186/klujes.1948670
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Cooperative Load Manipulation with Three 3R Robot Arms: Emergent Force Sharing via Lotka–Volterra Ecological Dynamics Under Virtual Impedance Control

Aydın Güllü, Sinan Atıcı, Ozan Akı, Gürkan Tuna et al.
Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri Dergisi
Robot Manipulation and Learning
article

Cooperative Load Manipulation with Three 3R Robot Arms: Emergent Force Sharing via Lotka–Volterra Ecological Dynamics Under Virtual Impedance Control

Aydın Güllü, Sinan Atıcı, Ozan Akı, Gürkan Tuna, Hilmi Kuşçu, Ozcan Cetinkaya
article en

Abstract

This paper presents a novel control architecture for cooperative load manipulation using three 3R serial robot arms arranged symmetrically around a shared payload. The major contribution of this paper to existing literature is the use of a competitive ecological model as the force-sharing mechanism. In this approach, each robot is treated as a species competing for a common resource, and the inter-species interaction matrix governs how the 150 N total load is distributed among the three agents at every instant. The Lotka-Volterra dynamics feed into a virtual impedance layer in which an emergent load trajectory P(t) evolves according to a mass–damper equation driven by the net end-effector forces. Joint trajectories are resolved at each time step through a Jacobian inverse kinematics solver with exponential moving average warm-start, and a low-pass filter on the Lotka-Volterra output suppresses transient oscillations. The result is a fully closed-loop system in which the load’s spatial trajectory is not prescribed but emerges from the collective force dynamics. A key property of the architecture is its self-regulated disturbance recovery: when a sigmoid-ramped perturbation reduces the dominant robot’s effective force contribution between t = 12 s and t = 14 s, the ecological competition naturally redistributes load across the remaining agents without any explicit re-planning or supervisory intervention. This self-regulating behavior arises directly from the limit-cycle structure of the Lotka-Volterra equilibrium.

Kırklareli Üniversitesi Mühendislik ve Fen Bilimleri DergisiVol. 12(1)
Trakya University (TR)
Trakya Üniversitesi
Openalex Percentile: Top 8%
Robot Manipulation and Learning
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