Zobrazeno 1 - 10
of 434
pro vyhledávání: '"Lee, Taeyoung"'
This paper introduces a deep transformer network for estimating the relative 6D pose of a Unmanned Aerial Vehicle (UAV) with respect to a ship using monocular images. A synthetic dataset of ship images is created and annotated with 2D keypoints of mu
Externí odkaz:
http://arxiv.org/abs/2406.09260
With the advancements of artificial intelligence (AI), we're seeing more scenarios that require AI to work closely with other agents, whose goals and strategies might not be known beforehand. However, existing approaches for training collaborative ag
Externí odkaz:
http://arxiv.org/abs/2403.15341
Autor:
Yu, Beomyeol, Lee, Taeyoung
By leveraging the underlying structures of the quadrotor dynamics, we propose multi-agent reinforcement learning frameworks to innovate the low-level control of a quadrotor, where independent agents operate cooperatively to achieve a common goal. Whi
Externí odkaz:
http://arxiv.org/abs/2311.06144
Autor:
C., Tejaswi K., Lee, Taeyoung
This paper presents a data-driven optimal control policy for a micro flapping wing unmanned aerial vehicle. First, a set of optimal trajectories are computed off-line based on a geometric formulation of dynamics that captures the nonlinear coupling b
Externí odkaz:
http://arxiv.org/abs/2206.03987
Autor:
Yu, Beomyeol, Lee, Taeyoung
This paper presents an equivariant reinforcement learning framework for quadrotor unmanned aerial vehicles. Successful training of reinforcement learning often requires numerous interactions with the environments, which hinders its applicability espe
Externí odkaz:
http://arxiv.org/abs/2206.01233
Autor:
Kulumani, Shankar, Lee, Taeyoung
Construction of the precise shape of an asteroid is critical for spacecraft operations as the gravitational potential is determined by spatial mass distribution. The typical approach to shape determination requires a prolonged mapping phase of the mi
Externí odkaz:
http://arxiv.org/abs/2203.06485
Autor:
Wang, Weixin, Lee, Taeyoung
This paper deals with uncertainty propagation of general stochastic hybrid systems (GSHS) where the continuous state space is a compact Lie group. A computational framework is proposed to solve the Fokker-Planck (FP) equation that describes the time
Externí odkaz:
http://arxiv.org/abs/2203.02548
Autor:
C., Tejaswi K., Lee, Taeyoung
Regression in supervised learning often requires the enforcement of constraints to ensure that the trained models are consistent with the underlying structures of the input and output data. This paper presents an iterative procedure to perform regres
Externí odkaz:
http://arxiv.org/abs/2201.06529
Autor:
C., Tejaswi K., Lee, Taeyoung
Inspired by flight characteristics captured from live Monarch butterflies, an optimal control problem is presented while accounting the effects of low-frequency flapping and abdomen undulation. A flapping-wing aerial vehicle is modeled as an articula
Externí odkaz:
http://arxiv.org/abs/2107.08008
Publikováno v:
J. Phys. D: Appl. Phys. 53, 455004 (2020)
We explore the impact of Fe80B20 inserted at both Co$_{20}$Fe$_{80}$B$_{20}$/MgO interfaces of dual-MgO free layers (FLs) in bottom-pinned magnetic tunnel junctions (MTJs). MTJ stacks are annealed for 30 min at 350 $^\circ$C and 400 $^\circ$C in a va
Externí odkaz:
http://arxiv.org/abs/2104.10918