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Loper
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The robots used for environmental monitoring must be capable of functioning in a number of environments that may be difficult for humans to operate. In addition to crossing diverse terrain (e.g., tall grass, sand, gravel, etc.), these robotic systems must be able to overcome man-made structures such as fences, etc. They must be able to carry significant processing and sensing equipment and power to maintain the system for prolonged operation.

The Loper is a versatile robotic platform designed for operation in a number of indoor and outdoor environments that would be common in the tasks at hand. The Loper is able to operate in these environments due to the combination of four novel Tri-lobe wheels, each of which is coupled to a high torque AC servo actuator mounted in a highly compliant chassis. The Loper is capable of a maximum sustained speed on level terrain of 8 km/h and can climb stairs at a rate of 6 steps/second. However, for safety purposes this speed is restrained to approximately 3 km/h and 3 steps/second. In other terms, this maximum speed is equivalent to travelling 4.3 body lengths per second which significantly out-paces other similar robot platforms.

The goal of the Loper's design is to provide resources for (semi)-autonomous operation in a platform that could overcome the limitations of the aforementioned environments. At first glance, the Loper's Tri-lobe wheels are similar in function to the spokes of the "Mini-Whegs", however, they actually use an active control scheme with independently driven motors similar to RHex. This enables multiple gaits that can not be achieved with the "Mini-Whegs" platform. The shape of the Tri-lobe wheels is similar to those found on MSRox, however, the Trilobe wheels lack the additional wheels found at each spoke of the MSRox.

Demos
Images
HPIM1255
HPIM1257
HPIM1258
HPIM1259
HPIM1260
HPIM1261
HPIM1263
HPIM1264
HPIM1267
Publications

Sam D. Herbert, Andrew Drenner, and Nikolaos Papanikolopoulos, "Loper: A Quadruped-Hybrid Stair Climbing Robot", Proceedings of the 2008 IEEE Conference on Robotics and Automation, Pasadena, CA, May 19-23, 2008.