📣 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.

Low-Resolution Sensing for Sim-to-Real Complex Terrain Robots

First Author: Shepherd D

Attributed to: Unlocking spiking neural networks for machine learning research funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-43360-3_16

Publication URI: http://dx.doi.org/10.1007/978-3-031-43360-3_16

Type: Book Chapter

Book Title: Towards Autonomous Robotic Systems - 24th Annual Conference, TAROS 2023, Cambridge, UK, September 13-15, 2023, Proceedings (2023)

Page Reference: 190-201