In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.
The project is designed to promote interoperability across manufacturing environments by enabling many-to-many connectivity ...
In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate ...
Flexxbotics has announced the release of an enhanced MQTT connector driver within the Flexxbotics open-source project on ...
Flexxbotics has released an enhanced MQTT connector driver within the company's open-source project on GitHub. The updated MQTT connector driver expands real-time industrial messaging capabilities to ...
Interesting Engineering on MSN
Driverless cars’ safety gets boost, new system lets robots see around corners uses radio waves
Researchers have developed a new system that could help improve safety of driverless cars.
Tech Xplore on MSN
Robots use radio signals and AI to see around corners
Penn Engineers have developed a system that lets robots see around corners using radio waves processed by AI, a capability ...
Tech Xplore on MSN
How much can an autonomous robotic arm feel like part of the body?
When AI-powered prosthetic arms that move autonomously become widespread, understanding how people feel about them and accept them will be crucial. In a study appearing in Scientific Reports, ...
Many robots are equipped with cameras to allow them to see the world. These digital eyes record sequences of still images which must somehow be interpreted as motion. A popular approach is optical ...
Waymo Begins Fully Autonomous Operations With 6th-Generation Tech ...
Trener Robotics’ Acteris platform replaces rigid procedural coding with pre-trained Physical AI skills, letting operators describe robotic tasks in their own words, turning conversational input into ...
Trener Robotics’ Acteris is a robot-agnostic skills platform that lets operators describe the tasks they want to automate in their own words.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results