37 citations · 116 across the 7 of their papers we have counts for
7 papers · 1 filter
Kinetic energy fluctuation-driven locomotor transitions on potential energy landscapes of beam obstacle traversal and self-righting
Ratan Othayoth
Despite contending with constraints imposed by the environment, morphology, and physiology, animals move well by physically interactingwith the environment to use and transition be…
A terrain treadmill to study animal locomotion through large obstacles
Ratan Othayoth, Blake Strebel, Yuanfeng Han +2
A major challenge to understanding locomotion in complex 3-D terrain with large obstacles is to create tools for controlled, systematic lab experiments. Existing terrain arenas onl…
Cockroaches adjust body and appendages to traverse cluttered large obstacles
Yaqing Wang, Ratan Othayoth, Chen Li
To traverse complex natural terrain, animals often transition between locomotor modes. It is well known that locomotor transitions can be induced by switching in neural control cir…
Locomotor transitions in the potential energy landscape-dominated regime
Ratan Othayoth, Qihan Xuan, Yaqing Wang +1
To traverse complex three-dimensional terrainwith large obstacles, animals and robots must transition across different modes. However, the most mechanistic understanding of terrest…
Shape-induced obstacle attraction and repulsion during dynamic locomotion
Yuanfeng Han, Ratan Othayoth, Yulong Wang +4
Robots still struggle to dynamically traverse complex 3-D terrain with many large obstacles, an ability required for many critical applications. Body-obstacle interaction is often…
An energy landscape approach to locomotor transitions in complex 3D terrain
Ratan Othayoth, George Thoms, Chen Li
Effective locomotion in nature happens by transitioning across multiple modes (e.g., walk, run, climb). Despite this, far more mechanistic understanding of terrestrial locomotion h…
Dynamic traversal of large gaps by insects and legged robots reveals a template
Sean W. Gart, Changxin Yan, Ratan Othayoth +2
It is well known that animals can use neural and sensory feedback via vision, tactile sensing, and echolocation to negotiate obstacles. Similarly, most robots use deliberate or rea…