Zobrazeno 1 - 10
of 476
pro vyhledávání: '"Kochenderfer, Mykel J."'
Autor:
Xiao, Xiongye, Li, Shixuan, Huang, Luzhe, Liu, Gengshuo, Nguyen, Trung-Kien, Huang, Yi, Chang, Di, Kochenderfer, Mykel J., Bogdan, Paul
While working within the spatial domain can pose problems associated with ill-conditioned scores caused by power-law decay, recent advances in diffusion-based generative models have shown that transitioning to the wavelet domain offers a promising al
Externí odkaz:
http://arxiv.org/abs/2411.09356
Autor:
Ward, Isaac Ronald, Asmar, Dylan M., Arief, Mansur, Mike, Jana Krystofova, Kochenderfer, Mykel J.
Deciding on appropriate mechanical ventilator management strategies significantly impacts the health outcomes for patients with respiratory diseases. Acute Respiratory Distress Syndrome (ARDS) is one such disease that requires careful ventilator oper
Externí odkaz:
http://arxiv.org/abs/2411.07971
To achieve autonomy in complex real-world exploration missions, we consider deployment strategies for a team of robots with heterogeneous autonomy capabilities. In this work, we formulate a multi-robot exploration mission and compute an operation pol
Externí odkaz:
http://arxiv.org/abs/2411.00400
The transfer of patients between two aircraft using an underway watercraft increases medical evacuation reach and flexibility in maritime environments. The selection of any one of multiple underway watercraft for patient exchange is complicated by pa
Externí odkaz:
http://arxiv.org/abs/2410.04523
This paper presents a solution to the problem of optimal ground station selection for low-Earth orbiting (LEO) space missions that enables mission operators to precisely design their ground segment performance and costs. Space mission operators are i
Externí odkaz:
http://arxiv.org/abs/2410.16282
Efficiently estimating system dynamics from data is essential for minimizing data collection costs and improving model performance. This work addresses the challenge of designing future control inputs to maximize information gain, thereby improving t
Externí odkaz:
http://arxiv.org/abs/2409.13088
Testing controllers in safety-critical systems is vital for ensuring their safety and preventing failures. In this paper, we address the falsification problem within learning-based closed-loop control systems through simulation. This problem involves
Externí odkaz:
http://arxiv.org/abs/2409.08097
Ambulance exchange points are preidentified sites where patients are transferred between evacuation platforms while en route to enhanced medical care. We propose a new capability for maritime medical evacuation, which involves co-opting underway wate
Externí odkaz:
http://arxiv.org/abs/2408.13847
Environment prediction frameworks are critical for the safe navigation of autonomous vehicles (AVs) in dynamic settings. LiDAR-generated occupancy grid maps (L-OGMs) offer a robust bird's-eye view for the scene representation, enabling self-supervise
Externí odkaz:
http://arxiv.org/abs/2407.21126
Autor:
Valentin, Romeo, Katz, Sydney M., Lee, Joonghyun, Walker, Don, Sorgenfrei, Matthew, Kochenderfer, Mykel J.
This paper addresses the challenge of probabilistic parameter estimation given measurement uncertainty in real-time. We provide a general formulation and apply this to pose estimation for an autonomous visual landing system. We present three probabil
Externí odkaz:
http://arxiv.org/abs/2407.16223