Benchmarking Agility For Multilegged Terrestrial Robots

In this paper, we present a novel and practical approach for benchmarking agility. We focus on terrestrial, multilegged locomotion in the field of bio-inspired robotics. We define agility as the ability to perform a set of different but specific tasks executed in a fast and efficient manner. This definition is inspired by the analysis of natural role models, such as dogs and horses as well as robotic systems. An evaluation of existing benchmarks in robotics is done and taken into account in our proposed benchmark. After the general definition, the actual normalized benchmarking values are defined, and measuring methods, as well as an online database for agility score collection and distribution, are presented. To provide a baseline for agile locomotion, various videos of dog-agility competitions were analyzed and agility scores calculated wherever applicable. Finally, validation and implementation of the benchmark are done with different robots directly available to the authors. In conclusion, our benchmark will enable researchers not only to compare existing robots and find out strengths and weaknesses in different design approaches, but also give a tool to define new fitness functions for optimization, learning processes, and future robots developments, intensifying the links between biology and technology even further

Analisis Performance Central Prosessing Unit (CPU) Realtime Menggunakan Metode Benchmarking

Perkembangan teknologi semakin berkembang cepat baik dari performa, grafik, bandwidth dan lain-lainnya sehingga mempengaruhi berbagai sendi kehidupan dan profesi, hal ini menyebabkan perubahan sistem pada piranti atau kinerja pada central prosessing unit. Pada dunia bisnis, saat ini telah memfaatkan kemajuan teknologi informasi demi kelancaran kerja dibidang yang digeluti baik sekala kecil maupun sekala besar. Metode yang digunakan benchmarking merupakan suatu proses mengidetifikasi terhadap hardware dan proses suatu tolak ukur sebuah performa yang diharapkan. Adapun langkah pengujian melakukan evalusi kinerja central prosessing unit (CPU) yang dilakukan pada kinerja hardware atau perangkat keras baik prosessor, ram, vega dan lain sebagainya. Hasil pengujian yang dilaksanakan pada cental prosessing unit (CPU) penggunaan ram oleh prosessor i3 sebesar 3.1 Gb, GPU 3%, Disk uses 1%, penggunaan network atau jaringan 7.7 Mbps, penggunaan power suplay very low. Prosessor i5 sebesar 4.2 Gb, GPU 0%, Disk uses 0%, penggunaan network atau jaringan 7.7 Mbps, penggunaan power suplay low. Prosessor i7 sebesar 2.5 Gb, GPU 9%, Disk uses 9%, penggunaan network atau jaringan 104 Kbps, penggunaan power suplay high