Invidious

Crowd and Multi-agent Simulation

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GAMMA UMD | 27 videos | Updated 1 year ago
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Crowd and multi-agent simulation research in the Geometric Algorithms for Modeling, Motion, and Animation (GAMMA) research group at the Department of Computer Science, University of North Carolina at Chapel Hill. gamma.cs.unc.edu/research/crowds/

4:53

A Statistical Similarity Measure for Aggregate Crowd Dynamics

GAMMA UMD

1:30

RVO2-UDK: RVO2 Library Integration with Unreal Development Kit

GAMMA UMD

5:00

Geometric Methods for Multi-agent Collision Avoidance

GAMMA UMD

4:54

PLEdestrians: A Least-effort Approach to Crowd Simulation

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4:01

Directing Crowd Simulations Using Multi-touch Interactions

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4:29

Independent Navigation of Multiple Robots and Virtual Agents

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5:02

Interactive Large-scale Crowd Simulation

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5:01

Directing Crowd Simulations Using Navigation Fields

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2:14

Reciprocal Velocity Obstacles for Real-time Multi-agent Navigation

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1:41

Multi-robot Coordination Using Generalized Social Potential Fields

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5:06

Composite Agents

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4:14

Aggregate Dynamics for Dense Crowd Simulation

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5:01

ClearPath: Highly Parallel Collision Avoidance for Multi-agent Simulation

GAMMA UMD

1:29

Simulating Heterogeneous Crowd Behaviors Using Personality Trait Theory

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4:15

Interactive Simulation of Dynamic Crowd Behaviors using General Adaptation Syndrome Theory

GAMMA UMD

5:02

DenseSense

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4:00

Hybrid Long-Range Collision Avoidance for Crowd Simulation

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5:07

Biologically-Inspired Visual Simulation of Insect Swarms

GAMMA UMD

6:57

Parameter Estimation and Comparative Evaluation of Crowd Simulations

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6:49

Velocity-Based Modeling of Physical Interactions in Multi-Agent Simulations for Dense Crowds

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5:17

Hybrid Long-Range Collision Avoidance for Crowd Simulation

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0:57

Generalized Velocity Obstacles

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3:25

Efficient Trajectory Extraction and Parameter Learning for Data-Driven Crowd Simulation

GAMMA UMD

1:14

ProxEmo: Gait-based Emotion Learning and Multiview Proxemic Fusion for Social-Aware Robot Navigation

GAMMA UMD