Abstract: Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed ...
Humanoid, a developer of humanoid robots and mobile manipulators, this week introduced KinetIQ. This is the London-based company’s own AI framework for orchestration of robot fleets across industrial, ...
Abstract: Mobile robot navigation involves guiding a robot from one location to another, a complex task requiring the integration of various components. Reinforcement learning (RL) has emerged as a ...
Typically, in the autonomous driving industry, developers create massive black-box, end-to-end models for autonomy that require petabytes of data to learn driving physics from scratch. Helm.ai today ...
The Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The first decision to kick off a greenfield Java project usually sounds breezy: "Let's start with Spring Boot, it's everywhere." A few days in, someone mutters that Quarkus boots faster and saves ...
Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Korean researchers have created a new control framework that allows four-legged robots to perform parkour-like movements, enabling them to navigate complex environments independently. In tests, the ...
A new Duke-developed AI system fuses vision, vibrations, touch and its own body states to help robots understand and move through difficult in-the-wild environments. The wealth of information provided ...
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