找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Algorithmic Foundations of Robotics XV; Proceedings of the F Steven M. LaValle,Jason M. O’Kane,Pratap Tokekar Conference proceedings 2023 T

[復(fù)制鏈接]
樓主: 不幸的你
21#
發(fā)表于 2025-3-25 05:22:58 | 只看該作者
,The Role of?Heterogeneity in?Autonomous Perimeter Defense Problems,in the context of a minimally viable model that examines the role of heterogeneous speeds in perimeter defense problems, where defenders share a total allocated speed budget. We consider two distinct problem settings and develop strategies based on dynamic programming and on local interaction rules.
22#
發(fā)表于 2025-3-25 09:38:35 | 只看該作者
23#
發(fā)表于 2025-3-25 14:41:44 | 只看該作者
24#
發(fā)表于 2025-3-25 17:42:30 | 只看該作者
25#
發(fā)表于 2025-3-25 23:49:50 | 只看該作者
26#
發(fā)表于 2025-3-26 01:15:02 | 只看該作者
27#
發(fā)表于 2025-3-26 07:20:09 | 只看該作者
,Partial Satisfaction of?Signal Temporal Logic Specifications for?Coordination of?Multi-robot Systemasible or conflicting subformulae. We formulate the planning problem for teams of agents with robust PS of STL missions as a bi-level optimization problem. The goal is to maximize the number of subformulae satisfied with preference to larger ones that have lower depth in the syntax tree of the overa
28#
發(fā)表于 2025-3-26 10:45:55 | 只看該作者
,Information Theoretic Intent Disambiguation via?Contextual Nudges for?Assistive Shared Control,ly, often from low-dimensional and noisy signals generated by the human through a control interface. In this paper, we propose a strategy in which the autonomous agent nudges the context in which the human generates their control actions. In doing so, the autonomous agent attempts to improve its own
29#
發(fā)表于 2025-3-26 15:00:16 | 只看該作者
,The Limits of?Learning and?Planning: Minimal Sufficient Information Transition Systems,ve based on limited sensing, memory, computation, and actuation. Regardless of whether policies are obtained by learning algorithms, planning algorithms, or human insight, we want to know the limits of feasibility for given robot hardware and tasks. Toward the quest to find the best policies, we est
30#
發(fā)表于 2025-3-26 19:53:50 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-17 10:04
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
湟中县| 泽州县| 东乡县| 图们市| 化州市| 霞浦县| 扬中市| 县级市| 安达市| 米脂县| 临颍县| 岗巴县| 龙江县| 项城市| 静宁县| 宽甸| 北票市| 榆社县| 永济市| 靖远县| 四川省| 永康市| 清流县| 扬州市| 大同市| 丰顺县| 静乐县| 呈贡县| 平阴县| 宁陕县| 威海市| 淮安市| 封开县| 江达县| 左权县| 雷波县| 四会市| 连城县| 渝北区| 宁陵县| 涞源县|