BC-ADMM: A parallel decoupled non-convex constrained optimizer for robot applications
The International Journal of Robotics Research
Published online on July 30, 2026
Abstract
The International Journal of Robotics Research, Ahead of Print.
Non-convex constrained optimizations are ubiquitous in robotic applications such as multi-agent navigation, UAV trajectory optimization, and soft robot simulation. As a common feature in these problems, the associated non-convex constraints, including ...
Non-convex constrained optimizations are ubiquitous in robotic applications such as multi-agent navigation, UAV trajectory optimization, and soft robot simulation. As a common feature in these problems, the associated non-convex constraints, including ...