Abstract
In this article, we describe the work of a team of researchers from the Johns Hopkins University Applied Physics Laboratory (APL) and Johns Hopkins University (JHU) to develop adaptive crowd navigation policies for robots by reasoning and predicting future pedestrian motion.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 430-433 |
| Number of pages | 4 |
| Journal | Johns Hopkins APL Technical Digest (Applied Physics Laboratory) |
| Volume | 35 |
| Issue number | 4 |
| State | Published - 2021 |
ASJC Scopus subject areas
- General Engineering
- General Physics and Astronomy
Fingerprint
Dive into the research topics of 'Intent-Aware Pedestrian Prediction for Adaptive Crowd Navigation'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS