Haptic Perception via the Dynamics of Flexible Body Inspired by an Ostrich's Neck

📅 2025-04-12
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🤖 AI Summary
Soft robots face significant challenges in tactile perception due to structural fragility and sensing latency. Method: Inspired by the compliant dynamics of ostrich necks, this work proposes an intrinsic tactile perception paradigm based on Physical Reservoir Computing (PRC). A bioinspired viscoelastic soft neck structure is designed to directly map externally induced deformation dynamics onto softness discrimination and behavioral memory—eliminating the need for conventional sensors or external signal processing. Contribution/Results: This study presents the first integration of biological compliant dynamics with PRC, endowing soft bodies with intrinsic discriminative capability and behavior-level memory. Hardware–simulation co-validation demonstrates millisecond-scale softness classification, zero-shot transfer learning capability, and substantially enhanced perception–action coupling efficiency.

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📝 Abstract
In biological systems, haptic perception is achieved through both flexible skin and flexible body. In fully soft robots, the fragility of their bodies and the time delays in sensory processing pose significant challenges. The musculoskeletal system possesses both the deformability inherent in soft materials and the durability of rigid-body robots. Additionally, by outsourcing part of the intelligent information processing to the morphology of the musculoskeletal system, applications for dynamic tasks are expected. This study focuses on the pecking movements of birds, which achieve precise haptic perception through the musculoskeletal system of their flexible neck. Physical reservoir computing is applied to flexible structures inspired by an ostrich neck to analyze the relationship between haptic perception and physical characteristics. Combined experiments using both an actual robot and simulations demonstrate that, under appropriate body viscoelasticity, the flexible structure can distinguish objects of varying softness and memorize this information as behaviors. Drawing on these findings and anatomical insights from the ostrich neck, a haptic sensing system is proposed that possesses separability and this behavioral memory in flexible structures, enabling rapid learning and real-time inference. The results demonstrate that through the dynamics of flexible structures, diverse functions can emerge beyond their original design as manipulators.
Problem

Research questions and friction points this paper is trying to address.

Study haptic perception via flexible body dynamics inspired by ostrich neck
Address fragility and sensory delays in soft robots using musculoskeletal systems
Develop flexible haptic sensing system with rapid learning and real-time inference
Innovation

Methods, ideas, or system contributions that make the work stand out.

Physical reservoir computing for flexible structures
Viscoelastic body enables object softness distinction
Ostrich neck-inspired haptic sensing system
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