论文信息 - Comment on "A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles"

Comment on "A Real-Time Approach for Chance-Constrained Motion Planning with Dynamic Obstacles"

This comment presents the results of using chance-constrained model predictive control (MPC) to solve a one-horizon benchmark collision avoidance problem.

Javier Alonso-Mora | Hai Zhu

[1] Javier Alonso-Mora,et al. Chance-Constrained Collision Avoidance for MAVs in Dynamic Environments , 2019, IEEE Robotics and Automation Letters.

[2] Holger Voos,et al. A Real-Time Approach for Chance-Constrained Motion Planning With Dynamic Obstacles , 2020, IEEE Robotics and Automation Letters.

[3] Alexander Domahidi,et al. FORCES NLP: an efficient implementation of interior-point methods for multistage nonlinear nonconvex programs , 2020, Int. J. Control.