Multilevel dynamic adjustments of geckos ( Hemidactylus frenatus ) climbing vertically: head-up versus head-down

• Published in: Journal of the Royal Society interface Vol. 20; no. 201; p. 20220840
• Main Authors: Schultz, Johanna T, Labonte, David, Clemente, Christofer J
• Format: Journal Article
• Language: English
• Published: England The Royal Society 05.04.2023
• Subjects: Animals; Biomechanical Phenomena; Extremities; Gait; Hindlimb; Life Sciences–Physics interface; Lizards - anatomy & histology; Locomotion; climbing lizards; climbing dynamics; legged robotic gait; vertical locomotion
• ISSN: 1742-5662; 1742-5689; 1742-5662
• DOI: 10.1098/rsif.2022.0840

Many climbing animals use direction-dependent adhesives to attach to vertical or inclined surfaces. These structures adhere when activated via a pull but detach when pushed. Therefore, a challenge arises when a change in climbing direction causes external forces such as gravity to change its acting orientation upon the lizard. To investigate how specialized climbers adjust, we studied kinematics and dynamics of six geckos climbing head-up and head-down a vertical racetrack. We found that limbs functionally swap their adhesive role: feet above the centre of mass (COM) generated adhesive forces, feet below the COM compressive forces, both equal in magnitude across directions. To investigate how lizards perform this swap, despite the constraint of their direction-dependent adhesives, we analysed kinematic adjustments across multiple smaller levels of hierarchy: limbs, feet and toes. All levels contributed: the hindfoot angle was reoriented realigning the adhesive structure, the hindlimb centre range of motion was further protracted and the hindfoot toe spreading was reduced. Notably, all three variables were adjustments of hindlimbs, suggesting that they make a more flexible contribution in upward versus downward climbing, while forelimbs may be anatomically or functionally constrained. The relevance of multilevel dynamic adjustments might inform the development of performant gaits for legged climbing robots.