STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead

Author:

Mahdavian Mohammad1,Nikdel Payam1,TaherAhmadi Mahdi1,Chen Mo1

Affiliation:

1. School of Computing Science, Simon Fraser University (SFU),Burnaby,Canada

Funder

CIFAR

SFU

Publisher

IEEE

Reference34 articles.

1. The Hands-Free Push-Cart: Autonomous Following in Front by Predicting User Trajectory Around Obstacles

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5. End-to-End Deep Learning for Robotic Following

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1. “Should I Lead?” Feasibility Study of User Perception on Following-Robot for Gait Assessment;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05

2. Robots That Can See: Leveraging Human Pose for Trajectory Prediction;IEEE Robotics and Automation Letters;2023-11

3. DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adversarial Network;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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