# Joint coordination constraints using an upper limb exoskeleton impact novel skill acquisition

**Authors:** Keya Ghonasgi, Reuth Mirsky, Adrian M. Haith, Peter Stone, Ashish D. Deshpande

PMC · DOI: 10.1017/wtc.2025.10028 · Wearable Technologies · 2025-10-27

## TL;DR

This study explores how using an upper-limb exoskeleton with different constraints affects learning new motor skills, finding that personalized constraints help while others hinder progress.

## Contribution

The study introduces variations of exoskeleton constraints and evaluates their impact on skill acquisition, emphasizing the importance of personalization in motor training.

## Key findings

- Introducing constraints during learning can hinder the learning process by altering task dynamics.
- Personalized constraints allow participants to learn, while task-specific constraints prevent successful adaptation.
- Participants show inconsistent performance, suggesting variability in response to exoskeleton interventions.

## Abstract

Robotic exoskeletons offer the potential to train novel motor skill acquisition and thus aid physical rehabilitation. Our prior work demonstrated that individuals converge to certain kinematic coordinations as they learn a novel task. An upper-limb exoskeleton controller that constrains individuals to this known coordination was also shown to significantly improve straight-line reaching task performance. This paper studies the impact of variations of this controller on novel skill acquisition. We quantify learning under three variations of the intervention (each group with N = 10 participants) against a control group (N = 13). Our results show that introducing any constraint during learning can hinder the learning process, as this alters the task dynamics that lead to success. However, when presented with a personalized constraint, participants still learn. When presented with a task-specific constraint, rather than a personalized one, participants cannot overcome the differences in the training and target task, suggesting exoskeleton-based training interventions should be personalized. The changes in kinematic behaviors during learning further suggest that participants do not have a statistically consistent performance. While participants respond more to exoskeleton intervention, others may not respond in short training sessions, necessitating further analysis of how strong a response can be encouraged. Our findings emphasize the need for further study of the effects of exoskeleton intervention for motor training and the potential need for personalization.

## Full-text entities

- **Genes:** CYP19A1 (cytochrome P450 family 19 subfamily A member 1) [NCBI Gene 1588] {aka ARO, ARO1, CPV1, CYAR, CYP19, CYPXIX}, NSF (N-ethylmaleimide sensitive factor, vesicle fusing ATPase) [NCBI Gene 4905] {aka DEE96, SEC18, SKD2}, FLII (FLII actin remodeling protein) [NCBI Gene 2314] {aka CMD2J, FLI, FLIL, Fli1}
- **Diseases:** stroke (MESH:D020521), neurological impairments (MESH:D009422), depression (MESH:D003866), COVID-19 (MESH:D000086382), neurological injury (MESH:D020196), amputation (MESH:C565682)
- **Chemicals:** water (MESH:D014867)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

50 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12569393/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12569393/full.md

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Source: https://tomesphere.com/paper/PMC12569393