This animation shows the travails of an explorer, skateboarder, dancer, and a herd of babies as they navigate an obstacle course. Their motions are generated automatically using our "Behavior Planning" framework. This framework uses a combination of behavior selection and path planning techniques along with a small number of pre-processed motion capture clips. The motions of the obstacles are pre-specified, and incorporated into the planner. In addition, we can use our "Precomputed Search Trees" technique to generate these motions much more efficiently than before
Autonomous virtual humans must be able to solve problems in their virtual environment. Starting from...
This paper describes a model for generating steering behaviors of groups of characters based on the ...
Planning the motions of a virtual character with high quality and control is a difficult challenge. ...
We present a novel approach for interactively synthesizing motions for characters navigating in comp...
This paper explores a behavior planning approach to automatically generate realistic motions for ani...
This paper describes the use of behavior functions to create systems of graphic objects which appear...
this paper, we argue that an effective way of doing this is through the integration of a rich collec...
Humans adjust their movements in advance to prepare for the forthcoming action, resulting in efficie...
International audienceBehavioural models offer the ability to simulate autonomous agents like organi...
Realistic character motion is an important component in media production, such as movies and video g...
Abstract. In this work, a strategy to automatically generate eye-believable motions for a virtual ch...
Generating skilled and well-planned behaviours for autonomous agents is a challenging problem commo...
grantor: University of TorontoThe automated animation of human characters continues to be ...
(*Work done while at EPFL-VRlab) Neuroscience evidence supports the idea that biological adaptive be...
International audienceThis paper presents a solution to the locomotion planning problem for digital ...
Autonomous virtual humans must be able to solve problems in their virtual environment. Starting from...
This paper describes a model for generating steering behaviors of groups of characters based on the ...
Planning the motions of a virtual character with high quality and control is a difficult challenge. ...
We present a novel approach for interactively synthesizing motions for characters navigating in comp...
This paper explores a behavior planning approach to automatically generate realistic motions for ani...
This paper describes the use of behavior functions to create systems of graphic objects which appear...
this paper, we argue that an effective way of doing this is through the integration of a rich collec...
Humans adjust their movements in advance to prepare for the forthcoming action, resulting in efficie...
International audienceBehavioural models offer the ability to simulate autonomous agents like organi...
Realistic character motion is an important component in media production, such as movies and video g...
Abstract. In this work, a strategy to automatically generate eye-believable motions for a virtual ch...
Generating skilled and well-planned behaviours for autonomous agents is a challenging problem commo...
grantor: University of TorontoThe automated animation of human characters continues to be ...
(*Work done while at EPFL-VRlab) Neuroscience evidence supports the idea that biological adaptive be...
International audienceThis paper presents a solution to the locomotion planning problem for digital ...
Autonomous virtual humans must be able to solve problems in their virtual environment. Starting from...
This paper describes a model for generating steering behaviors of groups of characters based on the ...
Planning the motions of a virtual character with high quality and control is a difficult challenge. ...