LiDAR
This code is related to LiDAR data processing(mainly Velodyne HDL-64E S2/S3), point set registration and SLAM algorithms.
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The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public. Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities. Current AI technologies are used in a set area of applications, ranging from healthcare, manufacturing, transport, energy, to financial services, banking, advertising, management consulting and government agencies. The global AI market is around 260 billion USD in 2016 and it is estimated to exceed 3 trillion by 2024. To understand the impact of AI, it is important to draw lessons from it's past successes and failures and this white paper provides a comprehensive explanation of the evolution of AI, its current status and future directions.
READ FULL TEXTThis code is related to LiDAR data processing(mainly Velodyne HDL-64E S2/S3), point set registration and SLAM algorithms.
This library was created for the MetroBotics project at CUNY. Its purpose is to provide a framework of commonly used classes and functions that aid in the development of artificial intelligence and robotics applications.
Sample C++ code for solving Inverse Kinematics for a robotic arm. This code was developed during the author's Masters studies in Artificial Intelligence and Robotics.