To help humans to complete everyday manual tasks, robots should be able to reliably manipulate everyday objects that vary in shape, texture and size. Many conventional approaches to enable robotic manipulation of various objects rely on extensive training and precise...
Robotics
Imitation learning framework enhances quadruped robots’ loco-manipulation skills in the wild
Quadruped robots integrating manipulators could potentially tackle tasks that entail manipulating objects while swiftly moving around in their surrounding environment. These include tasks such as collecting the trash around the house, collecting specific objects and...
Soft e-skin utilizes magnetic fields to independently sense three-axis forces
Electronic skins (e-skins) are flexible sensing materials designed to mimic the human skin's ability to pick up tactile information when touching objects and surfaces. Highly performing e-skins could be used to enhance the capabilities of robots, to create new haptic...
Novel framework can create egocentric human demonstrations for imitation learning
One of the most promising approaches to teaching robots how to complete manual tasks such as cleaning dishes or preparing food is known as imitation learning. End-to-end imitation learning typically entails training a deep learning algorithm on raw videos, images...
Integrated multi-modal sensing and learning system could give robots new capabilities
To assist humans with household chores and other everyday manual tasks, robots should be able to effectively manipulate objects that vary in composition, shape and size. The manipulation skills of robots have improved significantly over the past few years, in part due...
A nervous system-inspired framework to deploy self-organizing robot swarms
The deployment of robot teams could allow humans to complete various real-world tasks faster and more efficiently. For instance, multiple co-operating robots could help to quickly find and rescue survivors of natural disasters or monitor pollution across large...
Aquatic robot’s self-learning optimization enhances underwater object manipulation skills
In recent years, roboticists have introduced robotic systems that can complete missions in various environments, ranging from the ground to underground, aboveground and underwater settings. While several of these robots can grasp and move objects on the ground, the...
Study conceptualizes GenAI-driven Industry 6.0 with a successful swarm demonstration
Since the industrial revolution, manufacturing processes have continuously evolved in alignment with technological advances. Recent innovations, particularly in the field of robotics, 3D printing and machine learning, could soon facilitate further change, potentially...
Simplified octopus-inspired swimming robot with soft asymmetric arms can replicate swimming patterns
Researchers at the National University of Singapore have developed a new robot inspired by one of the most intelligent aquatic animals on Earth: the octopus. This robot, presented in a paper published on the arXiv pre-print server, could be used...
Low-cost touch sensor shows promise for large-scale robotics applications
The development of affordable and highly performing sensors can have crucial implications for robotics research, as it could improve perception to help boost robot manipulation and navigation. In recent years, engineers have introduced a wide range of advanced touch...