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We depart from the traditional approaches which rely on explicit mapping and exploration (like a cartographer who tries to localise themselves and draw a map at the same time).

The neural network inside our agent consists of three parts: 1) a convolutional network that can process images and extract visual features, 2) a locale-specific recurrent neural network that is implicitly tasked with memorising the environment as well as learning a representation of “here” (current position of the agent) and of “there” (location of the goal) and 3) a locale-invariant recurrent network that produces the navigation policy over the agent’s actions.

Neural SLAM

We present an approach for agents to learn representations of a global map from sensor data, to aid their exploration in new environments. To achieve this, we ...

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation

Learning-based approaches to robotic manipulation are limited by the scalability of data collection and accessibility of labels. In this paper, we present a ...

Predicting Actions to Act Predictably: Cooperative Partial Motion Planning

Autonomous mobile robots navigating in workspaces shared with human agents require motion planning techniques providing seamless integration and smooth ...

Build a Game AI - Machine Learning for Hackers #3

This video will get you up and running with your first game AI in just 10 lines of Python. The AI can theoretically learn to master any game you train it on, but has ...

How to Make an Amazing Video Game Bot Easily

In this video, we first go over the history of video game AI, then I introduce OpenAI's Universe, which lets you build a bot that can play thousands of different video ...

MoNETA (Modular NEural Traveling Agent) swims in the virtual Morris Water Maze

The goal of the MOdular Neural Exploring Traveling Agent (MoNETA) project undergoing at the Neuromorphics Lab at Boston University is to develop an animat ...

Biblical Series I: Introduction to the Idea of God

Lecture I in my Psychological Significance of the Biblical Stories series from May 16th at Isabel Bader Theatre in Toronto. In this lecture, I describe what I ...

Distributed cooperative path planning by 4 cameras

A network of ceiling cameras cooperate for distributed path planning and controlling path execution of an holonomic robot system (emulated with a pair of e-puck ...