Internship Position for M2 level students on Quantum–Classical Optimization Strategies for Robotic Applications
In robotics, many perception and control challenges are formulated as the optimization of complex, non-linear cost functions. A fundamental example is the estimation of a camera’s position and orientation from known correspondences between 3D points in the environment and their 2D projections on the image plane. This problem, known as the Perspective-n-Point (PnP) problem, is central to several key robotic applications, including localization, 3D reconstruction, and autonomous navigation.