首页|Findings from University of California Riverside in the Area of Robotics Describ ed (Density Stabilization Strategies for Nonholonomic Agents On Compact Manifolds)

Findings from University of California Riverside in the Area of Robotics Describ ed (Density Stabilization Strategies for Nonholonomic Agents On Compact Manifolds)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Riverside, Californi a, by NewsRx correspondents, research stated, “In this article, weconsider the problem of stabilizing a class of degenerate stochastic processes, which are con strained toa bounded Euclidean domain or a compact smooth manifold, to a given target probability density. Thisstabilization problem arises in the field of sw arm robotics, for example, in applications where a swarm ofrobots is required t o cover an area according to a target probability density.”

RiversideCaliforniaUnited StatesNo rth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRo boticsUniversity of California Riverside

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.2)