Multi Agent Navigation on the GPU

We present a unique and elegant graphics hardware realization of multi agent simulation. Specifically, we adapted Velocity Obstacles that suits well parallel computation on single instruction, multiple thread, SIMT, type architecture. We explore hash based nearest neighbors search to considerably optimize the algorithm when mapped on to the GPU. Moreover, to alleviate inefficiencies of agent level concurrency, primarily exposed in small agent count (≤32) scenarios, we exploit nested data parallel in unrolling the inner velocity iteration, demonstrating an appreciable performance increase. Simulation of ten thousand agents created with our system runs on current hardware at a real time rate of eighteen frames per second. Our software implementation builds on NVIDIA’s CUDA. CR Categories: I.3.1 [Computer Graphics]: Hardware Architecture—Graphics processors; I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search— Graph and Tree Search Strategies; I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence—Intelligent Agents

[1]  Yi Li,et al.  Motion Planning of Multiple Agents in Virtual Environments on Parallel Architectures , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[2]  Christian Laugier,et al.  Dynamic Obstacle Avoidance in uncertain environment combining PVOs and Occupancy Grid , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[3]  Lucas Kovar,et al.  Motion graphs , 2002, SIGGRAPH Classes.

[4]  Dinesh Manocha,et al.  Interactive navigation of multiple agents in crowded environments , 2008, I3D '08.

[5]  Michael Ian Shamos,et al.  Geometric intersection problems , 1976, 17th Annual Symposium on Foundations of Computer Science (sfcs 1976).

[6]  Ross T. Whitaker.  A FAST EIKONAL EQUATION SOLVER FOR PARALLEL SYSTEMS , 2007 .

[7]  Adrien Treuille,et al.  Near-optimal character animation with continuous control , 2007, SIGGRAPH 2007.

[8]  Zvi Shiller,et al.  Motion planning in dynamic environments: obstacles moving along arbitrary trajectories , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[9]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[10]  Paolo Fiorini,et al.  Motion Planning in Dynamic Environments Using Velocity Obstacles , 1998, Int. J. Robotics Res..

[11]  Michel Barlaud,et al.  Fast k nearest neighbor search using GPU , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[12]  Adrien Treuille,et al.  Continuum crowds , 2006, ACM Trans. Graph..

[13]  Steven M. LaValle,et al.  Planning algorithms , 2006 .

[14]  Sylvain Lefebvre,et al.  Perfect spatial hashing , 2006, ACM Trans. Graph..

[15]  Lucas Kovar,et al.  Motion Graphs , 2002, ACM Trans. Graph..

[16]  Avi Bleiweiss,et al.  GPU accelerated pathfinding , 2008, GH '08.

[17]  K. Madhava Krishna,et al.  Reactive collision avoidance of multiple moving agents by cooperation and conflict propagation , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[18]  Takashi Chikayama,et al.  Simulating the Collision Avoidance Behavior of Pedestrians , 2000 .

[19]  Dinesh Manocha,et al.  Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.

[20]  Muruganand Karthikeyan.  REAL TIME CROWD VISUALIZATION USING THE GPU , 2008 .

[21]  Mark H. Overmars,et al.  Point Location in Fat Subdivisions , 1992, Inf. Process. Lett..

[22]  Erwin Prassler,et al.  Reflective navigation: individual behaviors and group behaviors , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[23]  Yasuaki Abe,et al.  Collision avoidance method for multiple autonomous mobile agents by implicit cooperation , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[24]  Pat Hanrahan,et al.  Data Parallel Computation on Graphics Hardware , 2003 .