3 papers
cs.RO2020
LBGP: Learning Based Goal Planning for Autonomous Following in Front
Payam Nikdel, Richard Vaughan, Mo Chen
This paper investigates a hybrid solution which combines deep reinforcement learning (RL) and classical trajectory planning for the following in front application. Here, an autonom…
cs.RO2019
Relational Graph Learning for Crowd Navigation
Changan Chen, Sha Hu, Payam Nikdel +2
We present a relational graph learning approach for robotic crowd navigation using model-based deep reinforcement learning that plans actions by looking into the future. Our approa…
cs.RO2019
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps
Payam Nikdel, Richard Vaughan
This paper describes a system whereby a robot detects and track human-meaningful navigational cues as it navigates in an indoor environment. It is intended as the sensor front-end…