diff --git a/assets/aus-favicon-32x32.png b/assets/aus-favicon-32x32.png new file mode 100644 index 0000000..bdb3bd7 Binary files /dev/null and b/assets/aus-favicon-32x32.png differ diff --git a/index.html b/index.html index e789f2e..85860c7 100644 --- a/index.html +++ b/index.html @@ -53,7 +53,7 @@ vertical-align: middle; } - .favicon { height: 16px; vertical-align: text-bottom; padding-left: 0.5em; padding-right: 0.5em; } + .favicon { height: 1em; vertical-align: text-bottom; padding-right: 0.25em; padding-left: 0.25em; } .bullet-points { list-style: circle; margin-left: 1.5rem; } /* @@ -194,14 +194,17 @@

Work

-

Session (Private Messaging/Blockchain) [2024-2026] getsession.org

+

Session (Private Messaging/Blockchain) [2024-2026] getsession.org

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Agent Orientated Software (AI/Robotics) [2020-2024] aosgrp.com

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I worked on the in-house C++ kernel for BDI agents which was a real-time scheduler that - time-sliced, allocated goals and resources to agents (now open-sourced in Github; see - below) to execute their goals. I was also primarily responsible for the 2D discrete event - simulator using GLFW and Dear ImGui. This simulator tested the C++ kernel in various - scenarios such as solving games (like Tower of Hanoi) or agriculture use-cases for AOS's - in-house hardware branch working on autonomous off-road driving tech. The agent kernel - was designed with explainability in its core exposing an interface that allowed - GUIs and event simulators to hook into to use the kernel and explain the reasoning of - agents and/or build autonomous logic. + time-sliced, allocated goals, resources and processed percepts to the agents (now + open-sourced in Github; see below) to execute their goals. I was also primarily + responsible for the 2D discrete event simulator using GLFW and Dear ImGui. This simulator + tested the C++ kernel in various scenarios such as solving games (like Tower of Hanoi) or + agriculture use-cases for AOS's in-house hardware branch working on autonomous off-road + driving tech. The agent kernel was designed with explainability in its core exposing an + interface that allowed GUIs and event simulators to hook into to use the kernel and + explain the reasoning of agents and/or build autonomous logic.