This comprehensive article dives deep into the world of robotics, exploring the history, types, engineering components, applications, and future trends of robots, offering readers an in-depth understanding of how these remarkable machines work and shape our lives.
The hospitality industry can leverage the gender characteristics of service robots to influence customers' decisions, according to new research from a team in the Penn State School of Hospitality Management.
Service robots have evolved from simple automated machines to intelligent adaptive systems that can navigate unpredictable environments and interact with humans.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
A team of researchers from ITMO University, Tel Aviv University, and University of Aveiro have come up with a new way to improve the mechanical properties of spider webs.
EPFL researchers have developed a customizable soft robotic system that uses compressed air to produce shape changes, vibrations, and other haptic, or tactile, feedback in a variety of configurations.
Tapomayukh Bhattacharjee has been working on assistive robotics for approximately a decade, and in speaking to the people who would benefit from new technologies, he’s come to a few realizations.
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
This unique project delivered by Photoneo to Dedoles required the development of a unique, specially designed automation solution for the sorting of parcels prepared for shipment and their placement into different containers based on the delivery company.
Based on the 'Crover Effect' for locomotion in granular media, the CROVER robot is able to move through bulk solids and powders. The team wins $25,000 of manufacturing support from Mitsubishi Chemical Advanced Materials to take their design to the next level.
The engineers of DMG MORI’s ADDITIVE INTELLIGENCE team redesigned the Robo2Go head for additive manufacturing using nTopology. The new design is 62% lighter, has 60% fewer components, and improves the handling precision of the robot by a factor of 16x.
This solution for automated pallet unloading was developed by MV Center. For precise and reliable robot navigation, the system uses robust 3D vision technology from Photoneo.