robotology
Why the solver returns "the problem is non-convex" or " solve successfull"
I am now using quadratic programming to solve a trajectory planning problem, and the test scenario is to overtake a vehicle. I try OSQP diresctly and OSQP eigen. OSQP works well, while when i use osqp eigen, sometimes it works well, sometimes it suddenly return "the problem is non-convex" or "solve unccessful". I check the error code from OSQP, and only when the Hessian matrix is not positive definite, can the problem becomes non-convex. I have follow the OSQP eigen MPC example grammar rules to use this tool, is there any suggestions on the randomly occured crash?
Hi @tmacattank. Could you please give us a minimum example that we can use to better debug the problem?
I am using an online simulation platform based on ROS to develop the algorithm, I will try to find an easy way so that you can run my code
