journal article·2026-03Open access

Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)

Tülin Yılmaz Nayır, Yuan Fang, Consuelo Contreras, Andrew K. Schulz, Florian Hartmann

Advanced Science· Volume 13· Issue 15

Abstract

Abstract The deployment of robots and sensors across diverse ecosystems supports ecological monitoring, nature conservation, and exploration. However, retrieving these machines is often impractical or economically infeasible, posing risks to ecosystems through pollution, physical damage, and waste generation. To alleviate these risks, the development of transient systems from biodegradable materials represents a promising solution, enabling them to decompose harmlessly after use. Robots made from soft or functional polymers exhibit a unique potential in solving this challenge by drawing from a wide range of biomaterials, while simultaneously benefiting from intrinsic adaptability. Despite significant progress in the development of sustainable soft robotics, the influence of specific ecosystems on biodegradation is frequently overlooked. The environmental context is essential, as biodegradation depends largely on environmental factors unique to each ecosystem. In this review, a comprehensive overview of various ecosystems relevant to robot deployment is provided, offering critical context for assessing sustainability and deriving principles for ecosystem‐centered robot design. Co‐developing materials and sustainability robots with an understanding of their operational ecosystems paves the way for environmentally friendly machines, which are named ecoresorbable sustainability robots (ESRs), that coexist harmoniously with nature.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Soft Robotics and Applications · Micro and Nano Robotics · Robotic Locomotion and Control

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Biomimetic Materials and Machines Group Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany

Environmental Engineering Department Faculty of Engineering Gebze Technical University Kocaeli 41400 Turkey

Haptic Intelligence Department Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany

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