We solved inverse kinematics for a legged robot using simple machine learning at first then using ANN.
Apply machine learning to a legged robot to get more efficient functioning.
Many sources available on the internet. Search for medium articles particularly.
a biomimetic bipedal robot with reinforcement learning as it core control algorithm
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Designed an autonomous bot with the help of image processing techniques which takes input from an overhead camera. Used Open CV functions for thresholding, contour finding and shape detection. Used HSV segmentation to detect position and breadth-first-search algorithm for path planning. Used Arduino Uno Microcontroller and L298 motor driver for controlling the bot's movement.
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A typical multi-agent setup features wheeled robots (such as Khepera robots, e-Puck robots) and a tracking system to provide global position data to the robots (to close the feedback control loop). The GRITSBot aims at replicating such a setup albeit at a much lower cost as well as with robots significantly reduced in size without limiting the capabilities of the individual robots. Therefore, the GRITSBot is a wheeled differential-drive microrobot that resembles state-of-the-art platforms while closely replicating typical capabilities like wheeled locomotion, wireless communication to a host computer, infrared-based distance sensing, accelerometer and gyroscope, and onboard power for operation up to 5 hours.
NA
Ive attached my github account link , I've done tons of projects so would be hard to put all in form , please see them
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