English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Enabling full robotic workloads with diverse behaviors on mobile systems withstringent resource and energy constraints remains a challenge. In recent years,attempts have been made to deploy single-accelerator-based computing platforms(such as GPU, DSP, or FPGA) to address this challenge, but with little success.The core problem is two-fold: firstly, different robotic tasks requiredifferent accelerators, and secondly, managing multiple acceleratorssimultaneously is overwhelming for developers. In this paper, we propose PIRT,the first robotic runtime framework to efficiently manage dynamic taskexecutions on mobile systems with multiple accelerators as well as on the cloudto achieve better performance and energy savings. With PIRT, we enable a robotto simultaneously perform autonomous navigation with 25 FPS of localization,obstacle detection with 3 FPS, route planning, large map generation, and sceneunderstanding, traveling at a max speed of 5 miles per hour, all within an 11Wcomputing power envelope.

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures