📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Environments (2021)

First Author: Finean M.N.

Attributed to: Robust Legged Locomotion for Autonomous Mobility in Challenging Environments funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1609/icaps.v31i1.16010

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85102674084

Type: Other

Volume: 2021-August

Parent Publication: Proceedings International Conference on Automated Planning and Scheduling, ICAPS

ISSN: 23340843 23340835