Max Robotics — Global Service Robot Directory + US Certification

About

Adam Leon Kleppe’s research bridges advanced geometric computing and practical robotics, with a focus on inverse kinematics, point cloud alignment, and automated assembly. His most influential work, “Inverse Kinematics for Industrial Robots using Conformal Geometric Algebra” (2016, 35 citations), demonstrates how conformal geometric algebra (CGA) can analytically solve inverse kinematics for six-link industrial manipulators, offering a powerful alternative to numerical methods. He further advances robotic perception through curvature-based descriptors for coarse point cloud alignment (2018, 25 and 14 citations), enabling robust model fitting for CAD-guided assembly. Kleppe also contributes to multi-robot systems with an Inverted Particle Filter for obstacle detection and mapping (2013). His work on automated assembly using 2D and 3D cameras (2017) addresses real-world industrial challenges by improving accuracy in structured environments. With a total of over 80 citations, Kleppe’s integration of CGA into robotics—from kinematic solutions to perception—positions him as a key figure in geometric computing for automation, offering students and researchers a clear path from theoretical elegance to industrial application.