Zobrazeno 1 - 10
of 30 243
pro vyhledávání: '"Posner, A"'
Beyond the Sun-Earth line, spacecraft equipped with various solar telescopes are intended to be deployed at several different vantage points in the heliosphere to carry out coordinated, multi-view observations of the Sun and its dynamic activities. I
Externí odkaz:
http://arxiv.org/abs/2408.04208
Autor:
Newbury, Rhys, Collins, Jack, He, Kerry, Pan, Jiahe, Posner, Ingmar, Howard, David, Cosgun, Akansel
Differentiable simulators continue to push the state of the art across a range of domains including computational physics, robotics, and machine learning. Their main value is the ability to compute gradients of physical processes, which allows differ
Externí odkaz:
http://arxiv.org/abs/2407.05560
Autor:
Han, Chaeyeon, Seshadri, Pavan, Ding, Yiwei, Posner, Noah, Koo, Bon Woo, Agrawal, Animesh, Lerch, Alexander, Guhathakurta, Subhrajit
While various sensors have been deployed to monitor vehicular flows, sensing pedestrian movement is still nascent. Yet walking is a significant mode of travel in many cities, especially those in Europe, Africa, and Asia. Understanding pedestrian volu
Externí odkaz:
http://arxiv.org/abs/2406.09998
Autor:
Mitchell, Alexander L., Merkt, Wolfgang, Papatheodorou, Aristotelis, Havoutis, Ioannis, Posner, Ingmar
The current state-of-the-art in quadruped locomotion is able to produce robust motion for terrain traversal but requires the segmentation of a desired robot trajectory into a discrete set of locomotion skills such as trot and crawl. In contrast, in t
Externí odkaz:
http://arxiv.org/abs/2405.19452
We present COmpetitive Mechanisms for Efficient Transfer (COMET), a modular world model which leverages reusable, independent mechanisms across different environments. COMET is trained on multiple environments with varying dynamics via a two-step pro
Externí odkaz:
http://arxiv.org/abs/2404.15109
Mastering dexterous robotic manipulation of deformable objects is vital for overcoming the limitations of parallel grippers in real-world applications. Current trajectory optimisation approaches often struggle to solve such tasks due to the large sea
Externí odkaz:
http://arxiv.org/abs/2403.12861
3D scene understanding for robotic applications exhibits a unique set of requirements including real-time inference, object-centric latent representation learning, accurate 6D pose estimation and 3D reconstruction of objects. Current methods for scen
Externí odkaz:
http://arxiv.org/abs/2402.16308
World models are a powerful tool for developing intelligent agents. By predicting the outcome of a sequence of actions, world models enable policies to be optimised via on-policy reinforcement learning (RL) using synthetic data, i.e. in "in imaginati
Externí odkaz:
http://arxiv.org/abs/2312.08533
Autor:
Strauss, R. D., Dresing, N., Engelbrecht, N. E., Mitchell, J. G., Kühl, P., Jensen, S., Fleth, S., Sánchez-Cano, B., Posner, A., Rankin, J. S, Lee, C. O., Berg, J. P. van den, Ferreira, S. E. S., Heber, B.
In this paper we explore the idea of using multi-spacecraft observations of Jovian electrons to measure the 3D distribution of these particles in the inner heliosphere. We present simulations of Jovian electron intensities along selected spacecraft t
Externí odkaz:
http://arxiv.org/abs/2401.02969
Model-based RL is a promising approach for real-world robotics due to its improved sample efficiency and generalization capabilities compared to model-free RL. However, effective model-based RL solutions for vision-based real-world applications requi
Externí odkaz:
http://arxiv.org/abs/2311.03622