This paper addresses the challenge of controlling a drone in unknown dynamic environments using a new model predictive control (MPC) approach called hyMPC. The hyMPC leverages high-level decision variables to…
Continue readingThe article introduces a new online model-predictive trajectory planner for robotic manipulators, called BoundMPC. This planner allows robots to follow collision-free Cartesian reference paths in dynamic environments. The unique feature…
Continue readingThe paper presents BoundMPC, a novel online model-predictive trajectory planner for robotic manipulators. This planner allows the collision-free following of Cartesian reference paths in the end-effector’s position and orientation, including…
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