Synthesizing motions for legged characters in arbitrary environments is a long-standing problem that has recently received a lot of attention from the computer graphics community. We tackle this problem with a procedural approach that is generic, fully automatic, and independent from motion capture data. The main contribution of this article is a point-mass-model-based method to synthesize Center Of Mass trajectories. These trajectories are then used to generate the whole-body motion of the character. The use of a point mass model results in physically inconsistent motions and joint limit violations when mapped back to a full- body motion. We mitigate these issues through the use of a novel formulation of the kinematic constraints that allows us to generate a quasi-static Center Of Mass trajectory in a way that is both user-friendly and computationally efficient. We also show that the quasi-static constraint can be relaxed to generate motions usable for computer animation at the cost of a moderate violation of the dynamic constraints. Our method was integrated in our open-source contact planner and tested with different scenarios-some never addressed before-featuring legged characters performing non-gaited motions in cluttered environments. The computational efficiency of our trajectory generation algorithm (under one ms to compute one second of trajectory) enables us to synthesize motions in a few seconds, one order of magnitude faster than state-of-the-art methods. Although our method is empirically able to synthesize collision-free motions, the formal handling of environmental constraints is not part of the proposed method and left for future work.

2PAC: Two-Point Attractors for Center Of Mass Trajectories in Multi-Contact Scenarios / Tonneau, S., Fernbach, P., Prete, A.D., Pettré, J., Mansard, N.. - In: ACM TRANSACTIONS ON GRAPHICS. - ISSN 0730-0301. - 37:5(2018), pp. 1-14. [10.1145/3213773]

2PAC: Two-Point Attractors for Center Of Mass Trajectories in Multi-Contact Scenarios

Prete, Andrea Del;
2018-01-01

Abstract

Synthesizing motions for legged characters in arbitrary environments is a long-standing problem that has recently received a lot of attention from the computer graphics community. We tackle this problem with a procedural approach that is generic, fully automatic, and independent from motion capture data. The main contribution of this article is a point-mass-model-based method to synthesize Center Of Mass trajectories. These trajectories are then used to generate the whole-body motion of the character. The use of a point mass model results in physically inconsistent motions and joint limit violations when mapped back to a full- body motion. We mitigate these issues through the use of a novel formulation of the kinematic constraints that allows us to generate a quasi-static Center Of Mass trajectory in a way that is both user-friendly and computationally efficient. We also show that the quasi-static constraint can be relaxed to generate motions usable for computer animation at the cost of a moderate violation of the dynamic constraints. Our method was integrated in our open-source contact planner and tested with different scenarios-some never addressed before-featuring legged characters performing non-gaited motions in cluttered environments. The computational efficiency of our trajectory generation algorithm (under one ms to compute one second of trajectory) enables us to synthesize motions in a few seconds, one order of magnitude faster than state-of-the-art methods. Although our method is empirically able to synthesize collision-free motions, the formal handling of environmental constraints is not part of the proposed method and left for future work.
2018
5
Tonneau, Steve; Fernbach, Pierre; Prete, Andrea Del; Pettré, Julien; Mansard, Nicolas
2PAC: Two-Point Attractors for Center Of Mass Trajectories in Multi-Contact Scenarios / Tonneau, S., Fernbach, P., Prete, A.D., Pettré, J., Mansard, N.. - In: ACM TRANSACTIONS ON GRAPHICS. - ISSN 0730-0301. - 37:5(2018), pp. 1-14. [10.1145/3213773]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/226142
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