Zobrazeno 1 - 10
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pro vyhledávání: '"A. Planner"'
Autor:
Clifford, Ben, Tewdwr-Jones, Mark
Since the turn of the 21st century, there has been a greater pace of reform to planning in Britain than at any other time. As a public sector activity, planning has also been impacted heavily by the wider changes in the way we are governed. Yet whi
Autor:
Avila, Stephen M.1 savila@bsu.edu, Avila, Ramon A.2 ravila@bsu.edu
Publikováno v:
Journal of Financial Service Professionals. Jul2021, Vol. 75 Issue 4, p60-67. 8p.
In practical applications, the unpredictable movement of obstacles and the imprecise state observation of robots introduce significant uncertainties for the swarm of robots, especially in cluster environments. However, existing methods are difficult
Externí odkaz:
http://arxiv.org/abs/2410.13573
Autor:
Meng, Jiawei, Stoyanov, Danail
With the development of science and technology, mobile robots are playing a significant important role in the new round of world revolution. Further, mobile robots might assist or replace human beings in a great number of areas. To increase the degre
Externí odkaz:
http://arxiv.org/abs/2412.07683
Autor:
Kulathunga, Geesara, Yilmaz, Abdurrahman, Huang, Zhuoling, Hroob, Ibrahim, Arunachalam, Hariharan, Guevara, Leonardo, Klimchik, Alexandr, Cielniak, Grzegorz, Hanheide, Marc
In autonomous navigation, trajectory replanning, refinement, and control command generation are essential for effective motion planning. This paper presents a resilient approach to trajectory replanning addressing scenarios where the initial planner'
Externí odkaz:
http://arxiv.org/abs/2412.03174
Autor:
Li, Siyuan, Ma, Zhe, Liu, Feifan, Lu, Jiani, Xiao, Qinqin, Sun, Kewu, Cui, Lingfei, Yang, Xirui, Liu, Peng, Wang, Xun
Robot task planning is an important problem for autonomous robots in long-horizon challenging tasks. As large pre-trained models have demonstrated superior planning ability, recent research investigates utilizing large models to achieve autonomous pl
Externí odkaz:
http://arxiv.org/abs/2411.06920
In this work, we present FRTree planner, a novel robot navigation framework that leverages a tree structure of free regions, specifically designed for navigation in cluttered and unknown environments with narrow passages. The framework continuously i
Externí odkaz:
http://arxiv.org/abs/2410.20230
Through end-to-end training to predict the next token, LLMs have become valuable tools for various tasks. Enhancing their core training in language modeling can improve numerous downstream applications. A successful approach to enhance language model
Externí odkaz:
http://arxiv.org/abs/2410.12492
Local planning is an optimization process within a mobile robot navigation stack that searches for the best velocity vector, given the robot and environment state. Depending on how the optimization criteria and constraints are defined, some planners
Externí odkaz:
http://arxiv.org/abs/2410.03066
Offline Reinforcement Learning (RL) has emerged as a powerful alternative to imitation learning for behavior modeling in various domains, particularly in complex navigation tasks. An existing challenge with Offline RL is the signal-to-noise ratio, i.
Externí odkaz:
http://arxiv.org/abs/2411.07760