Crowd navigation in a multi-room environment: a model predictive control framework for mobile robots [0.03%]
基于模型预测控制的多房间环境下的机器人群体路径规划算法
Giovanbattista Gravina,Francesco D&#x;Orazio,Michele Cipriano et al.
Giovanbattista Gravina et al.
Mobile robots operating in human-populated environments must navigate complex, multi-room spaces while ensuring safety, i.e., generating collision-free motion. In this study, we present a sensor-based model predictive control (MPC) scheme d...
Editorial: Advanced sensing, learning and control for effective human-robot interaction [0.03%]
编者按：先进传感、学习和控制有效的人机交互
Zhenyu Lu,Lu Chen,Yanpeng Guan et al.
Zhenyu Lu et al.
Decoupling what, how, and when for observing decision-making context in autonomous robots [0.03%]
解耦自主机器人观察决策背景的什么、如何和何时问题
Johannes Ernst,David Lennart Risch,Peter Lehner et al.
Johannes Ernst et al.
This paper presents an approach that decouples what to observe, how to observe it, and when observations are required for decision-making in autonomous robots. Situation awareness is essential for efficient and reliable autonomous robot ope...
Yuno Takitani,Keisuke Koyama,Weiwei Wan et al.
Yuno Takitani et al.
In this study, we develop an innovative adhesion gripper capable of handling plate-like objects with various thicknesses without causing damage. The gripper combines an adhesion pad utilizing intermolecular forces and a variable-stiffness e...
Uncertainty-guided informative path planning for ecological monitoring using autonomous surface vehicles under Dubins motion constraints [0.03%]
基于Dubins运动约束的自主水面船只生态监测不确定性引导信息路径规划方法研究
Jalil Chavez-Galaviz,Meredith Bloss,Nina Mahmoudian
Jalil Chavez-Galaviz
Autonomous surface vehicles (ASVs) enable efficient in-situ data collection for large-scale ecological monitoring; however, effective environmental mapping requires planning strategies that account for not only informative measurements, but...
A multimodal dataset for socially aware navigation of heavy-duty construction robots [0.03%]
一种用于重型施工机器人社交感知导航的跨模态数据集
Carlos A P Pizzino,Phani-Teja Singamaneni,Micael S Couceiro et al.
Carlos A P Pizzino et al.
Hybrid task and motion planning with reactive collision handling for multi-robot disassembly of complex products: application to EV batteries [0.03%]
用于复杂产品机器人协同拆解的务算和运动规划及反应式碰撞处理：电动车电池拆解的应用研究
Abdelaziz Shaarawy,Cansu Erdogan,Rustam Stolkin et al.
Abdelaziz Shaarawy et al.
This paper addresses the problem of multi-robot coordination for complex manipulation task sequences. We present a vision-driven task-and-motion planning (TAMP) framework for a real dual-agent platform that integrates task decomposition and...
Structural predictors and latent maturity regimes of robotic readiness in global health systems: evidence from machine learning-based latent clustering and class prediction [0.03%]
全球卫生系统中机器人技术准备的结构预测和潜在成熟度制度：来自基于机器学习的潜在聚类和类别预测的证据
Moumita Mukherjee,Raja Hashim Ali
Moumita Mukherjee
Background: The systematic integration of robotics into health service delivery systems requires periodic assessment of robotic readiness in terms of digital-health maturity regimes across countries. The current study aim...
Object-centric diffusion policies for real-world robotic-arm imitation learning [0.03%]
以物体为中心的扩散策略在现实世界的机器人模仿学习中的应用
Prashant Reddy Kasu,Dugan Um
Prashant Reddy Kasu
Imitation learning in complex, unstructured environments remains challenging due to the difficulty of grounding perception in physically meaningful representations and the need to model multimodal action distributions. Existing approaches o...
Benchmark evaluation in task and motion planning using iteratively deepened AND/OR graph networks [0.03%]
基于迭代深入与或图网络的任务和运动规划基准评估
Hossein Karami,Antony Thomas,Fulvio Mastrogiovanni
Hossein Karami
In robotics research, each subdomain presents a distinct set of challenges, and any framework designed for a given domain must effectively address these complexities. However, a single application within that domain may not fully capture th...