AI Based Biped Robot

Abstract

In this paper, we focus on bipedal robot development and control for different surface conditions using an AI based approach. The core components of our existing robot are pressure sensor, servomotor and software-driven microcontroller. We performed robot system simulation for various ground surface conditions to control the robot with respect to pressure-sensing data that incorporates the two-way interactions between robot and ground. In our machine, we're imposing the robot which may be managed by means of ai. The movement of two-legged gadget is called as taking walks. Strolling can be statically or dynamically solid. Going for walks is usually dynamically solid. Airborne time for ASIMO is 0.08 sec. Keep foot flat at the floor (fully actuated). Estimate hazard of foot roll by means of measuring ground reaction forces. Cautiously design desired trajectories thru optimization. Keep knees bent (avoid singularity). The adaptive trajectory monitoring manages (high remarks profits). The maximum critical undertaking inside the development of biped robot is robotic mechanical structure. Stiffness and compliance consist with biped determine with flexibility of shape. The primary goal is to design a biped shape that may effortlessly control and capable of dealing with entire situation like humans. A normal man can weigh up to ten kg of load without difficulty and panting with accuracy. Even as designing we ought to remember such a lot of parameters inside the proposed machine, we're interfacing the flexi force sensor with Arduino mega. And measuring the foot stress of robotic after that send that fee to raspberry pi primarily based on ai robot will controlled mechanically. When people think of artificial intelligence (ai), the major image that pops up in their heads is that of a robot gliding around and giving mechanical replies.