Zobrazeno 1 - 10
of 29 149
pro vyhledávání: '"Kanji, So"'
This work explores the potential of brief inter-agent knowledge transfer (KT) to enhance the robotic object goal navigation (ON) in unseen and unfamiliar environments. Drawing on the analogy of human travelers acquiring local knowledge, we propose a
Externí odkaz:
http://arxiv.org/abs/2409.14899
We introduce an effective thermodynamics for multipartite entangled pure states and derive an upper bound on extractable energy with feedback control from a subsystem under a local Hamiltonian. The inequality that gives the upper bound corresponds to
Externí odkaz:
http://arxiv.org/abs/2408.11522
In 3D LiDAR-based robot self-localization, pole-like landmarks are gaining popularity as lightweight and discriminative landmarks. This work introduces a novel approach called "discriminative rotation-invariant poles," which enhances the discriminabi
Externí odkaz:
http://arxiv.org/abs/2406.11266
Particle acceleration and magnetic field amplification by relativistic shocks in inhomogeneous media
Particle acceleration and magnetic field amplification in relativistic shocks propagating in inhomogeneous media are investigated by three-dimensional magnetohydrodynamical (MHD) simulations and test-particle simulations. The MHD simulations show tha
Externí odkaz:
http://arxiv.org/abs/2405.15138
In everyday indoor navigation, robots often needto detect non-distinctive small-change objects (e.g., stationery,lost items, and junk, etc.) to maintain domain knowledge. Thisis most relevant to ground-view change detection (GVCD), a recently emergin
Externí odkaz:
http://arxiv.org/abs/2405.06185
A typical assumption in state-of-the-art self-localization models is that an annotated training dataset is available in the target workspace. However, this does not always hold when a robot travels in a general open-world. This study introduces a nov
Externí odkaz:
http://arxiv.org/abs/2403.10552
Autor:
Tomita, Kanji M., Hiura, Tsutom
Publikováno v:
Bulletin of the Ecological Society of America, 2024 Jul 01. 105(3), 1-5.
Externí odkaz:
https://www.jstor.org/stable/48777904
Core-collapse supernovae can be a copious source of sterile neutrinos, hypothetical particles that mix with active neutrinos. We develop two-dimensional stellar core-collapse models that incorporate the mixing between tau neutrinos and heavy sterile
Externí odkaz:
http://arxiv.org/abs/2402.14333
Autor:
Tsukahara, Kenta, Tanaka, Kanji
A typical assumption in state-of-the-art self-localization models is that an annotated training dataset is available for the target workspace. However, this is not necessarily true when a robot travels around the general open world. This work introdu
Externí odkaz:
http://arxiv.org/abs/2312.15897
Publikováno v:
Journal of Cultural Heritage Management and Sustainable Development, 2024, Vol. 14, Issue 5, pp. 787-792.