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. 2025 Apr 24;15(1):14363.
doi: 10.1038/s41598-025-98999-6.

Bridging the gap between haptic devices and cobots with highly geared magnetorheological actuators

Affiliations

Bridging the gap between haptic devices and cobots with highly geared magnetorheological actuators

Jean-Sébastien Plante et al. Sci Rep. .

Abstract

In the current age of artificial intelligence, physical interactions between humans and robots have become a crucial aspect of robot design. However, these interactions are limited by the performance of actuation hardware. Unlike human muscles, robot actuators cannot handle both strong, powerful tasks (such as typical cobot tasks) and delicate, dexterous tasks (such as haptic tasks) with the same efficiency and size due to conflicting design requirements. As a result, different actuation methods are chosen based on how much emphasis is placed on a specific set of performance criteria. To address these conflicting demands, this paper investigates the potential of using magnetorheological (MR) clutch actuators for more human-like robot interactions. The paper presents an analytical and experimental comparison of today's leading actuator technologies-high reduction ratio's harmonic drives and low reductions ratio's quasi-direct drives-against MR clutch actuators. Analytical models are developed to evaluate five key actuator performance metrics: torque-to-mass, torque-to-inertia, backdriving loads, rendering stiffness, and power consumption. The design space for the three technologies is explored, and their performance potential is analyzed. The results demonstrate that the fluidic interface of MR actuators resolves two major conflicts. First, it overcomes the fundamental conflict in gearing selection by separating the motor's inertia from the actuator's output, allowing for high gearing ratios (such as 100:1) to minimize actuator torque-density with minimal output inertia. Second, MR actuators address the issue of damping, which limits quasi-direct drive stiffness rendering, by using the serial positioning of the fluidic interface to adjust damping rates as needed, enabling rendered stiffness levels up to five times greater than harmonic drives. These dynamic characteristics, combined with high torque densities (> 100 Nm/kg), low backdriving torque, and low power consumption, offer the potential for robotic performance that closely mimics human capabilities.

Keywords: Actuators; Collaborative robots; Design; Haptic robots; Humanoid robots; Magnetorheological fluids; Modeling; Performance metrics.

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Conflict of interest statement

Declarations. Competing interests: Pr. Jean-Sebastien Plante is the Chief Technology Officer of Exonetik Inc. and Professor of mechanical engineering at the Université de Sherbrooke.Alexandre St-Jean received student grants from Mitacs for internships that were partially funded by Exonetik Inc to perform the work described in this paper. He is also employed by Exonetik Inc.Dr. Jean-Philippe Lucking Bigué is the Lead Robotic Engineer at Exonetik Inc.

Figures

Fig. 1
Fig. 1
Performance trade-offs of robotic actuators based on electric motors (Numbers are orders of magnitude only, not absolute targets).
Fig. 2
Fig. 2
Early-days clutching actuator for flight control.
Fig. 3
Fig. 3
(a) Topology of geared MR actuators, (b) Gen I actuator, (c) Gen II actuator, and (d) Gen III MR clutch.
Fig. 4
Fig. 4
Friction forces on rotating parts for (a) conventional actuator, and (b) geared MR actuator.
Fig. 5
Fig. 5
Three basic control modes of geared MR actuators (a) Combined locked, (b) Combined slip and (c) Antagonistic slip.
Fig. 6
Fig. 6
Stability model.
Fig. 7
Fig. 7
Effect of gearing ratio on brake torque density for formula image=150 Nm actuators. Speed dependent lines for harmonic drives are for formula image = 0 and 360 RPM.
Fig. 8
Fig. 8
Effect of gearing ratio on brake torque-to-inertia ratio for formula image=150 Nm actuators.
Fig. 9
Fig. 9
Backdriving torque of formula image=150 Nm actuators (a) during collisions (formula image: 80 RPM, formula image: 229 000 formula image), and (b) actuators backdriven at human speed (formula image: 10 RPM, formula image:114 500formula image).
Fig. 10
Fig. 10
Power consumption of QDD, HD, and MR actuators scaled to formula image=150 Nm at (a) 0 RPM, (b) 30 RPM and, (c) 90 RPM.
Fig. 11
Fig. 11
Power consumption of Gen II MR actuators scaled to formula image=150 Nm in antagonistic slip, combined slip, and locked modes.
Fig. 12
Fig. 12
Net viscous torque map from MR clutches.
Fig. 13
Fig. 13
Torque measure and frequency spectrum analysis of a typical hammer impact.
Fig. 14
Fig. 14
Gen II maximum joint stiffness (a) experimental setup, and (b) results vs. prediction based on viscous damping constant measurements.
Fig. 15
Fig. 15
MR-actuated robot performing (a) teleoperated deboning, (b) teleoperated demonstration of salmon skinning and (c) repeating the demonstrated operation on a different piece of salmon.
Fig. 16
Fig. 16
Dual-arm cooperation to trim tomato pedicel.
Fig. 17
Fig. 17
Design space of MR, HD, and QDD actuators.

References

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