Jaeshik Yoon

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Situation awareness and its ambiguities are some of the main problems for rescue robotics. In a disaster area, there are many obstacles and confined passages. The operator must perceive the environment and decide the robot motion based on limited sensor data. These make it difficult for the operator to perceive the situation. The operator should be aware of(More)
This paper presents GPU-based collision detection method that accelerates collision queries for sampling-based motion planning. This approach uses many-core GPUs. To take advantage of a many-core GPU, kinematic and collision detection is calculated by the GPU. The experimental results indicate that this approach can result in a ten-fold faster performance(More)
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