Autonomous robots are becoming part of people’s daily lives in service applications such as vacuum cleaners, grass mowers, and food serving. One of the most recurrent challenges is to find a fitting ...

Next-gen robots get brain-like navigation to run for days using 90% less power The brain-inspired system operates on less than 10% of the energy of conventional systems.

QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and uses less than 10% of the energy required by traditional systems.

Researchers from MIT and NVIDIA Research have developed a novel algorithm that dramatically speeds up the robot's planning process. Their approach enables a robot to "think ahead" by evaluating ...

Mid-air transformation helps flying, rolling robot to transition smoothly Date: May 28, 2025 Source: California Institute of Technology Summary: Engineers have developed a real-life Transformer ...

Researchers have developed a lightweight mapping algorithm that reduces memory use and boosts the scalability of autonomous mobile robots.

If programming mobile robots is your passion, don't miss this session on navigation at the Robotics Summit & Expo in Boston.

Abstract A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation has advanced ...

Welcome to the NavRL repository! This repository provides the implementation of the NavRL framework, designed to enable robots to safely navigate dynamic environments using Reinforcement Learning.

A new data creation paradigm and algorithmic breakthrough from Georgia Tech has laid the groundwork for humanoid assistive robots to help with laundry, dishwashing, and other household chores. The ...