WITHDRAWN: CoppeliaSim: Adaptable modular robot and its different locomotions simulation framework

Abstract

From Aeronautics to UBTECH LYNX and ASUS ZENBO the adoptability of robotics in every domain is vast. Integrity of the robots is all about the sensing and controlling. While designing any hardware module, it prefers to design in any simulator first, as if there are any changes and technical issues raises, we can re simulate it again and again till the desired result is achieved. Hardware of the hexa -robot is transformed its creation from an error-based learning technique to the skills of walking and climbing over huddles. This paper proposes a forced learning-based method to learn the light footed and dynamic motor skills of a hexapod to efficiently walk and recover from falling in complex terrains. Learning approaches typically faces trials and errors, and if the robot run across unknown situation, a new learning scenario is needed again, which is time consuming as well as costly. The above drawbacks of designing directly with hardware is to overcome by simulating and controlling hexa robot using coppeliaSim. we design this hexa robot in such a way to performs same functions and satisfy the purpose of its design by using coppeliasim simulator which creates a platform in which we can simulate a robot in 3d model. The propose work discuss about Enable a robot to walk and adapt its locomotion to helm unknown complex terrains through simulator.