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Prakhar Goel's Projects

8-puzzle-game-solver icon 8-puzzle-game-solver

Solved the traditional 8-Tile Puzzle game in C++ using manhattan distance heuristic and modified BFS search

champ icon champ

𓃑 Quadruped Robot based on MIT Cheetah I

code-review icon code-review

This repository contains code snippets organized into three different categories for a code review. Please note that some code may be incomplete or not shareable due to proprietary or confidentiality reasons. I have tried keeping a variety rather than depth.

dmd-mpc-rl icon dmd-mpc-rl

This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL

free_gait icon free_gait

An Architecture for the Versatile Control of Legged Robots

moteus icon moteus

Brushless servo and quadrupedal robot

orbit icon orbit

Unified framework for robot learning built on NVIDIA Isaac Sim

quad-sdk icon quad-sdk

Software tools for agile quadrupeds, developed by the Robomechanics Lab at Carnegie Mellon University.

sigver icon sigver

Signature verification package, for learning representations from signature data, training user-dependent classifiers.

steadystatekalmanfilter-labview icon steadystatekalmanfilter-labview

Various MEMS devices are available in market that have built in accelerometers, gyroscopes and magnetometers for measuring the orientation in space, but the measurements are not stable and can’t be used raw effectively. Kalman filter does a great job in playing the role of an observer that can accurately estimate the final state based on inaccurate and noisy measurement data. Here I propose to study one such Kalman filter - Steady state Kalman filter, that is used with the MPU9250 IMU – 9 axis sensor that has a built-in accelerometer, gyroscope and a magnetometer. Pitch angle is estimated at each timestep. STM32 is used to collect the IMU data through SPI interface, this data is sent serially to LabVIEW, where a VI is used to visualize the raw data and the estimated Kalman filter data.

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