scholarly journals HMPO: Human Motion Prediction in Occluded Environments for Safe Motion Planning

2020 ◽  
Author(s):  
Jaesung Park ◽  
Dinesh Manocha
Keyword(s):  
Motion Planning ◽  
Human Motion ◽  
Motion Prediction ◽  
Human Motion Prediction ◽  
Occluded Environments

scholarly journals I-Planner: Intention-aware motion planning using learning-based human motion prediction

2018 ◽  
Vol 38 (1) ◽  
pp. 23-39 ◽  
Author(s):  
Jae Sung Park ◽  
Chonhyon Park ◽  
Dinesh Manocha
Keyword(s):  
Motion Planning ◽  
Human Motion ◽  
Motion Prediction ◽  
Uncertain Environments ◽  
Human Actions ◽  
Online Planning ◽  
Human Motion Prediction ◽  
Offline Learning ◽  
Planning Algorithm ◽  
High Degree

We present a motion planning algorithm to compute collision-free and smooth trajectories for high-degree-of-freedom (high-DOF) robots interacting with humans in a shared workspace. Our approach uses offline learning of human actions along with temporal coherence to predict the human actions. Our intention-aware online planning algorithm uses the learned database to compute a reliable trajectory based on the predicted actions. We represent the predicted human motion using a Gaussian distribution and compute tight upper bounds on collision probabilities for safe motion planning. We also describe novel techniques to account for noise in human motion prediction. We highlight the performance of our planning algorithm in complex simulated scenarios and real-world benchmarks with 7-DOF robot arms operating in a workspace with a human performing complex tasks. We demonstrate the benefits of our intention-aware planner in terms of computing safe trajectories in such uncertain environments.

scholarly journals Multitask Non-Autoregressive Model for Human Motion Prediction

2020 ◽  
pp. 1-1
Author(s):  
Bin Li ◽  
Jian Tian ◽  
Zhongfei Zhang ◽  
Hailin Feng ◽  
Xi Li
Keyword(s):  
Autoregressive Model ◽  
Human Motion ◽  
Motion Prediction ◽  
Human Motion Prediction
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