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comparative-analysis-of-koopman-kalman-filter-and-ekf

controller-design---feedback-and-lqr-

Feedback and LQR using Full state and reduced observer

controller-design---pid-h_2-and-h_infinity

Lateral Control of Autonomous Vehicles. Designed PID, 𝐻2 and 𝐻∞ controllers and trade offs in design were studied upon for real-time implementation.

data-structures-and-algorithms

deep-learning-and-computer-vision

Identified lane lines for a self-driving car using Computer Vision techniques via OpenCV on Python, Classification of Road Symbols using LeNet model, Convolutional Neural Network on Python using the NVidia model with Keras to obtain steering angles of the car

machine-vision-based-mobile-gripper

pythonrobotics

Python sample codes for robotics algorithms.

raspberry-pi

raspberrypi_ros

robot-design-for-warehouse-logistics

Optimized robot design and path routine as a single problem using Multidisciplinary System Design Optimization. Used both gradient-based and heuristic optimization techniques to obtain a global optima. Used Pareto front for trade off analysis for multiple objectives.

robot_localization

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

ros_amr

ROS AMR is a set of ROS based applications developed for an autonomous mobile robot as part of a research project developed at UVic

ros_raspberrypi

stack_overflow_survey_trend_analysis_data_science

Stack_Overflow_Survey_Trend_Analysis_Data_science

trajectory-generation-using-inverse-kinematics

Handled singularities by using different working modes to generate trajectories using Inverse Kinematics

vision-based-control-

Using RGB-D data for Robot Control