A research team has developed a new "Physical AI" technology that improves the efficiency of multi-robot autonomous ...
Robots are typically trained to adjust paths when they encounter obstacles, such as forklifts or misplaced cargo. However, ...
Professor Kyung-Joon Park’s team at DGIST develops a Physical AI-based multi-robot autonomous navigation system inspired by how social issues spread and are forgotten. - Productivity 18%↑, Travel Time ...
Robot navigation and human-robot interaction are rapidly evolving fields that focus on how robots can effectively and safely navigate environments shared with humans. As robots become more integrated ...
Michigan Technological University's Robotics and Remote Sensing Lab brought home an unprecedented win in the international Benchmark Autonomous Robot Navigation Challenge. Their victory could set a ...
Navigating without a map is a difficult task for robots, especially when they can't reliably determine where they are. A new AI-powered solution helps robots overcome this challenge by training them ...