01 Intelligence that can explain and act

AI that understands the world it works in.

We work across explainable AI, computer vision, and embodied intelligence, with a specialization in Automated Driving Systems (ADS).

Our premise

Intelligent systems should be understandable, perceptive, and grounded in the world they affect. We connect XAI, computer vision, and embodied AI to study systems that can explain, perceive, and act.

Research map / 03 areas

How intelligence meets the world

Our work groups around explanation, visual perception, and embodied action. Automated Driving Systems are our application specialization.

01 / EXPLANATIONA visual explanation path connecting a neural network to an interpretable decision and uncertainty bands

Explainable AI (XAI)

Making model behaviour, evidence, and uncertainty easier to inspect, communicate, and challenge.

Explore XAI →
02 / PERCEPTIONAn urban road scene with computer-vision segmentation and detections around a car, pedestrian, and traffic light

Computer Vision

Visual perception for machines: scene understanding, object recognition, and reliable sensing in context.

See ADS specialization →
03 / EMBODIMENTA robotic arm using depth sensing to pick up an object on a laboratory workbench

Embodied & Physical AI

Systems that connect perception, reasoning, and action through robots, sensors, and physical environments.

Explore embodied systems →

Application specialization / ADS

Automated Driving Systems

We bring perception, explainability, and embodied intelligence together in ADS research, where systems must interpret dynamic environments and act with reliability.

Medical AIDefence

Field notes

Ideas in progress

Short observations, literature notes, and working hypotheses from the lab.

Note 001

Why explainability matters when AI acts

A starting point for our inquiry into interpretable decisions, accountable systems, and AI that operates in the physical world.

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NextIn progress

Research notes are being prepared

Our first literature and field notes will appear here as the lab develops.

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The lab

Two contributors.
One shared inquiry.

Academy of Science is currently built and maintained by two contributors, with research notes shared as the lab develops.

Contributor

Shankaranarayan N

AI · research · systems

Contributor

Satwik Ramsetti

AI · research · systems
$ ls ACADEMY OF SCIENCE
~/lab · tty0
ACADEMY OF SCIENCE / EMBLEM_01LIVE PIXEL RENDER
XAI / VISION / EMBODIED AIDRAG TO SPIN · TAP TO PAUSE

academy_of_science independent AI research node

[ ok ] focus XAI · computer vision · embodied AI

[ ok ] applications medical · defence

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