We consider a pursuit-evasion problem between humanoids in the presence of obstacles. In our scenario, the pursuer enters the safety area of the evader headed for collision, while the latter executes a fast evasive motion. Control schemes are designed for both the pursuer and the evader. They are structurally identical, although the objectives are different: the pursuer tries to align its direction of motion with the line- of-sight to the evader, whereas the evader tries to move in a direction orthogonal to the line-of-sight to the pursuer. At the core of the control architecture is a Model Predictive Control scheme for generating a stable gait. This allows for the inclusion of workspace obstacles, which we take into account at two levels: during the determination of the footsteps orientation and as an explicit MPC constraint. We illustrate the results with simulations on NAO humanoids.

MPC-based humanoid pursuit-evasion in the presence of obstacles / De Simone, Daniele; Scianca, Nicola; Ferrari, Paolo; Lanari, Leonardo; Oriolo, Giuseppe. - ELETTRONICO. - (2017), pp. 5245-5250. (Intervento presentato al convegno 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 tenutosi a Vancouver; Canada) [10.1109/IROS.2017.8206415].

MPC-based humanoid pursuit-evasion in the presence of obstacles

De Simone, Daniele
;
Scianca, Nicola;FERRARI, PAOLO;Lanari, Leonardo;Oriolo, Giuseppe
2017

Abstract

We consider a pursuit-evasion problem between humanoids in the presence of obstacles. In our scenario, the pursuer enters the safety area of the evader headed for collision, while the latter executes a fast evasive motion. Control schemes are designed for both the pursuer and the evader. They are structurally identical, although the objectives are different: the pursuer tries to align its direction of motion with the line- of-sight to the evader, whereas the evader tries to move in a direction orthogonal to the line-of-sight to the pursuer. At the core of the control architecture is a Model Predictive Control scheme for generating a stable gait. This allows for the inclusion of workspace obstacles, which we take into account at two levels: during the determination of the footsteps orientation and as an explicit MPC constraint. We illustrate the results with simulations on NAO humanoids.
2017
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
Control and Systems Engineering; Software; Computer Science Applications; Computer Vision and Pattern Recognition; Humanoids
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
MPC-based humanoid pursuit-evasion in the presence of obstacles / De Simone, Daniele; Scianca, Nicola; Ferrari, Paolo; Lanari, Leonardo; Oriolo, Giuseppe. - ELETTRONICO. - (2017), pp. 5245-5250. (Intervento presentato al convegno 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 tenutosi a Vancouver; Canada) [10.1109/IROS.2017.8206415].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1069234
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