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, ...
The system takes a CAD-style product specification and automatically generates a complete assembly plan, including factory ...
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 ...
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 ...
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 ...