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: Agents and Robots for reliable Engineered Autonomy; 4th Workshop, AREA 2 Angelo Ferrando,Rafael C. Cardoso Conference proceedings 2025 The

[復(fù)制鏈接]
樓主: adulation
21#
發(fā)表于 2025-3-25 03:43:06 | 只看該作者
22#
發(fā)表于 2025-3-25 09:09:13 | 只看該作者
Guide to Graphics Software Toolsinuously. In this way, the robot is able to abstract more and focus on high-level tasks instead of low-level details. An implementation of the proposed approach is presented with JaCaMo agents and a Godot simulation, using Region Connection Calculus (RCC) as base for the agent.
23#
發(fā)表于 2025-3-25 15:00:36 | 只看該作者
24#
發(fā)表于 2025-3-25 18:02:03 | 只看該作者
25#
發(fā)表于 2025-3-25 22:08:38 | 只看該作者
,Verification-Oriented Specification of?Multi-agent Interaction Patterns,hysical surroundings through sensors and make impactful decisions that influence the environment. Software engineering challenges in this domain include the specification of interactive multi-agent tasks. The general-purpose Domain-Specific Language named LIrAs, Language for Interactive Agents, is a
26#
發(fā)表于 2025-3-26 02:04:39 | 只看該作者
,Evaluation of?Human Interaction with?Fleets of?Automated Vehicles in?Dynamic Underground Mining Env by confined spaces, limited visibility, and strict navigation requirements. The research focuses on integrating human-controlled vehicles into coordinated AV fleets, addressing the unpredictable interactions that arise from human behaviour. The ORU coordination framework, originally designed for a
27#
發(fā)表于 2025-3-26 05:55:30 | 只看該作者
,Signal Sparsity Considerations for?Using VAE with?Non-visual Data: Case Study of?Proximity Sensors on a mobile robot. Traditionally effective in dense, high-dimensional domains like image processing, VAEs face unique challenges when adapted to sparse, low-dimensional sensory data. This paper contributes to broader efforts to tailor deep generative models to the complexities of robotic sensory da
28#
發(fā)表于 2025-3-26 10:13:11 | 只看該作者
,Planning with?Non-deterministic Actions in?Jason,ipeline transforming the initial specification of the non-deterministic planning problem into an AND-OR tree, which is then used to solve for non-deterministic post conditions and generate a contingency plan in AgentSpeak.
29#
發(fā)表于 2025-3-26 15:15:07 | 只看該作者
,Bid Intercession to?Unlock Human Control in?Decentralized Consensus-Based Multi-robot Task Allocatileet. Intercession refers to the principle of agents biding on behalf of other agents or imposing certain allocations in decision-making architectures leveraging auction-based decision strategies. This is particularly relevant in settings where human operators, having more precise knowledge of the s
30#
發(fā)表于 2025-3-26 19:12:00 | 只看該作者
Reason Logically, Move Continuously,ns directly on the step to perform. In this work, we propose a different approach where the robot body and the robot mind are separated, the body is placed in a continuous environment and the mind reasons in a more abstract way on regions instead of cells, leaving to the body the task of moving cont
 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, 2025-10-29 09:26
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
南投市| 信宜市| 若羌县| 德格县| 华容县| 苗栗市| 晋江市| 昌邑市| 黄平县| 贡觉县| 元阳县| 庆云县| 高邮市| 阳高县| 柞水县| 略阳县| 镇远县| 潜江市| 甘南县| 黔江区| 鲜城| 珠海市| 武陟县| 碌曲县| 平定县| 分宜县| 甘谷县| 黄骅市| 古丈县| 新宾| 玉环县| 绵阳市| 迁西县| 邹城市| 曲松县| 东丽区| 大洼县| 阿巴嘎旗| 桐城市| 潞城市| 苗栗市|