Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
— For certain applications, field robotic systems require small size for cost, weight, access, stealth or other reasons. Small size results in constraints on critical resources s...
Abstract. Recent successful SLAM methods employ hybrid map representations combining the strengths of topological maps and occupancy grids. Such representations often facilitate mu...
Structured peer-to-peer (p2p) overlay networks provide a decentralized, self-organizing substrate for distributed applicad support powerful abstractions such as distributed hash t...
Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, t...