Stochastic Jumping Robots for Large‐Scale Environmental Sensing

Abstract

Single‐use jumping robots that are mass‐producible and biodegradable could be quickly released for environmental sensing applications. Such robots would be pre‐loaded to perform a set number of jumps, in random directions and with random distances, removing the need for onboard energy and computation. Stochastic jumpers build on embodied randomness and large‐scale deployments to perform useful work. This paper introduces simulation results showing how to construct a large group of stochastic jumpers to perform environmental sensing, and the first demonstration of robot prototypes that can perform a set number of sequential jumps, have full‐body sensing, and are well suited to be made biodegradable. An interactive preprint version of the article can be found at: https://www.authorea.com/doi/full/10.22541/au.163525369.97561426.

Realization Method of Stable Continuous Steering Jumping for a Bioinspired Jerboa Robot

“…To improve the environmental adaptability of bioinspired jumping robots, research has expanded from plane jumping to omnidirectional jumping on the basis of the mechanism of the steering jumping of creatures. [11][12][13][14] The main method to realize omnidirectional jumping is to control the leg and trunk posture of the robot precisely. [2,15] The most representative robot with omnidirectional jumping ability is Salto, which was developed by the University of California at Berkeley.…”