Bats have the innate ability to move around in the dark, even when they cannot visually perceive their surroundings. This fascinating ability is grounded in their emission of ultrasonic chirps, which produce unique patterns of echoes that offer information about the...
Robotics
Researchers design a new efficient automated garage system
Advances in the field of robotics and computer science have led to the creation of various automated systems aimed at simplifying everyday tasks. In urban and largely populated areas, these systems could also help to increase efficiency, reduce congestion and improve...
A model that could improve robots’ ability to grasp objects
When completing missions and tasks in the real-world, robots should ideally be able to effectively grasp objects of various shapes and compositions. So far, however, most robots can only grasp specific types of objects.
A lizard-inspired robot to explore the surface of Mars
Technological advances have opened exciting possibilities for space exploration, which could potentially lead to new discoveries about the celestial bodies in our galaxy. Robots have proved to be particularly promising tools to explore other planets, particularly...
A framework that could improve the social intelligence of home assistants
Existing artificial intelligence agents and robots only help humans when they are explicitly instructed to do so. In other words, they do not intuitively determine how they could be of assistance at a given moment, but rather wait for humans to tell them what they...
A continuum robot inspired by elephant trunks
Conventional robots based on separate joints do not always perform well in complex real-world tasks, particularly those that involve the dexterous manipulation of objects. Some roboticists have thus been trying to devise continuum robots, robotic platforms...
A framework that allows four-legged robots to follow a leader in both daytime and nighttime conditions
Legged robots have significant advantages over wheeled and track-based robots, particularly when it comes to moving on different types of terrains. This makes them particularly favorable for missions that involve transporting goods or traveling from one place to...
A method to enable robotic paper folding based on deep learning and physics simulations
To tackle different real-world tasks, robots should be able to handle and manipulate a variety of objects and materials, including paper. While roboticists have successfully improved the ability of humanoid robots or robotic grippers to handle several materials, paper...
An imitation-relaxation reinforcement learning framework for four-legged robot locomotion
For legged robots to effectively explore their surroundings and complete missions, they need to be able to move both rapidly and reliably. In recent years, roboticists and computer scientists have created various models for the locomotion of legged robots, many of...
A model to enable the autonomous navigation of spacecraft during deep-space missions
Simultaneous localization and mapping (SLAM) is a promising technology that can be used to improve the navigation of autonomous systems, helping them to map their surrounding environment and track other objects within it. So far, it has primarily been applied to...