首页|Researchers from University of Maryland Detail New Studies and Findings in the A rea of Robotics (Minimal perception: enabling autonomy in resource-constrained r obots)
Researchers from University of Maryland Detail New Studies and Findings in the A rea of Robotics (Minimal perception: enabling autonomy in resource-constrained r obots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news originating from College Park, Maryland, by NewsRx co rrespondents, research stated, “The rapidly increasing capabilities of autonomou s mobile robots promise to make them ubiquitous in the coming decade.” Our news reporters obtained a quote from the research from University of Marylan d: “These robots will continue to enhance efficiency and safety in novel applica tions such as disaster management, environmental monitoring, bridge inspection, and agricultural inspection. To operate autonomously without constant human inte rvention, even in remote or hazardous areas, robots must sense, process, and int erpret environmental data using only onboard sensing and computation. This capab ility is made possible by advancements in perception algorithms, allowing these robots to rely primarily on their perception capabilities for navigation tasks. However, tiny robot autonomy is hindered mainly by sensors, memory, and computin g due to size, area, weight, and power constraints. The bottleneck in these robo ts lies in the real-time perception in resource-constrained robots. To enable au tonomy in robots of sizes that are less than 100 mm in body length, we draw insp iration from tiny organisms such as insects and hummingbirds, known for their so phisticated perception, navigation, and survival abilities despite their minimal sensor and neural system.”
University of MarylandCollege ParkMa rylandUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRobotics
NETL
NSTL
