24 citations · 36 across the 4 of their papers we have counts for
5 papers
Efficient Probabilistic Collision Detection for Non-Convex Shapes
Jae Sung Park, Chonhyon Park, Dinesh Manocha
We present new algorithms to perform fast probabilistic collision queries between convex as well as non-convex objects. Our approach is applicable to general shapes, where one or m…
I-Planner: Intention-Aware Motion Planning Using Learning Based Human Motion Prediction
Jae Sung Park, Chonhyon Park, Dinesh Manocha
We present a motion planning algorithm to compute collision-free and smooth trajectories for high-DOF robots interacting with humans in a shared workspace. Our approach uses offlin…
Fast and Bounded Probabilistic Collision Detection in Dynamic Environments for High-DOF Trajectory Planning
Chonhyon Park, Jae Sung Park, Dinesh Manocha
We present a novel approach to perform probabilistic collision detection between a high-DOF robot and high-DOF obstacles in dynamic, uncertain environments. In dynamic environments…
DoraPicker: An Autonomous Picking System for General Objects
Hao Zhang, Pinxin Long, Dandan Zhou +10
Robots that autonomously manipulate objects within warehouses have the potential to shorten the package delivery time and improve the efficiency of the e-commerce industry. In this…
Spoke-Darts for High-Dimensional Blue-Noise Sampling
Scott A. Mitchell, Mohamed S. Ebeida, Muhammad A. Awad +6
Blue noise sampling has proved useful for many graphics applications, but remains underexplored in high-dimensional spaces due to the difficulty of generating distributions and pro…