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相关论文: HeRoSwarm: Fully-Capable Miniature Swarm Robot Har…

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A cooperative robot swarm is a collective of computationally-limited robots that share a common goal. Each robot can only interact with a small subset of its peers, without knowing how this affects the collective utility. Recent advances in…

机器人学 · 计算机科学 2026-05-07 Erel Shtossel , Gal A. Kaminka

With the rapid development of simulation tools, the development and validation of autonomous robotic systems have become more efficient before real-world deployment. This paper presents a simulation-to-real implementation of an autonomous…

机器人学 · 计算机科学 2026-05-28 Vinh Nguyen , Gia-Uy Le , Tien-Dat Nguyen , Tri-Tin Nguyen , Vinh-Hao Nguyen

In this work, we present preliminary work on a novel method for Human-Swarm Interaction (HSI) that can be used to change the macroscopic behavior of a swarm of robots with decentralized sensing and control. By integrating a small yet…

机器人学 · 计算机科学 2021-02-05 Zahi Kakish , Sritanay Vedartham , Spring Berman

With the growing demand for efficient logistics and warehouse management, unmanned aerial vehicles (UAVs) are emerging as a valuable complement to automated guided vehicles (AGVs). UAVs enhance efficiency by navigating dense environments…

The field of robotics faces significant challenges related to the complexity and interoperability of existing middleware frameworks, like ROS2, which can be difficult for new developers to adopt. To address these issues, we propose…

机器人学 · 计算机科学 2026-01-30 Anshul Ranjan , Anoosh Damodar , Neha Chougule , Dhruva S Nayak , Anantharaman P. N , Shylaja S S

Acoustophoresis has enabled novel interaction capabilities, such as levitation, volumetric displays, mid-air haptic feedback, and directional sound generation, to open new forms of multimodal interactions. However, its traditional…

Modular soft robots combine the strengths of two traditionally separate areas of robotics. As modular robots, they can show robustness to individual failure and reconfigurability; as soft robots, they can deform and undergo large shape…

机器人学 · 计算机科学 2021-01-29 D. S. Drew , M. Devlin , E. Hawkes , S. Follmer

There exist a wide range of options for field robotics research using ground and aerial mobile robots, but there are comparatively few robust and research-ready uncrewed surface vessels (USVs). This workshop paper starts with a snapshot of…

机器人学 · 计算机科学 2024-04-24 Thomas M. C. Sears , M. Riley Cooper , Sabrina R. Button , Joshua A. Marshall

Humanoid robots hold great promise in assisting humans in diverse environments and tasks, due to their flexibility and adaptability leveraging human-like morphology. However, research in humanoid robots is often bottlenecked by the costly…

机器人学 · 计算机科学 2024-06-21 Carmelo Sferrazza , Dun-Ming Huang , Xingyu Lin , Youngwoon Lee , Pieter Abbeel

We present DOTS, a new open access testbed for industrial swarm robotics experimentation. It consists of 20 fast agile robots with high sensing and computational performance, and real-world payload capability. They are housed in an arena…

机器人学 · 计算机科学 2022-03-28 Simon Jones , Emma Milner , Mahesh Sooriyabandara , Sabine Hauert

We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation for drones is challenging due to complex aerodynamic…

机器人学 · 计算机科学 2021-07-19 Guanya Shi , Wolfgang Hönig , Xichen Shi , Yisong Yue , Soon-Jo Chung

Validation of robotics theory on real-world hardware platforms is important to prove the practical feasibility of algorithms. This paper discusses some of the lessons learned while adapting the EvoBot, a low-cost robotics platform that we…

Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm…

Large assemblies of extremely simple robots capable only of basic motion activities (like propelling forward or self-rotating) are often applied to study swarming behavior or implement various phenomena characteristic of active matter…

The biologically-inspired swarm paradigm is being used to design self-organizing systems of locally interacting artificial agents. A major difficulty in designing swarms with desired characteristics is understanding the causal relation…

多智能体系统 · 计算机科学 2016-11-17 Aram Galstyan , Tad Hogg , Kristina Lerman

Swarm systems consist of large numbers of robots that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts ranging from search-and-rescue situations to Cyber defence.…

人机交互 · 计算机科学 2018-03-09 Aya Hussein , Leo Ghignone , Tung Nguyen , Nima Salimi , Hung Nguyen , Min Wang , Hussein A. Abbass

Human-Robot Teams offer the flexibility needed for partial automation in small and medium-sized enterprises (SMEs). They will thus be an integral part of Factories of the Future. Our research targets a particularly flexible teaming mode,…

机器人学 · 计算机科学 2020-04-03 Dominik Riedelbauch , Johannes Hartwig , Dominik Henrich

Due to the complexity of robotics, the reproducibility of results and experiments is one of the fundamental problems in robotics research. While the problem has been identified by the community, the approaches that address the problem…

机器人学 · 计算机科学 2018-01-26 Aljoscha Pörtner , Martin Hoffmann , Matthias König

The design and development of swarms of micro-aerial vehicles (MAVs) has recently gained significant traction. Collaborative aerial swarms have potential applications in areas as diverse as surveillance and monitoring, inventory management,…

机器人学 · 计算机科学 2021-04-20 Jorge Peña Queralta , Yu Xianjia , Li Qingqing , Tomi Westerlund

Currently, most social robots interact with their surroundings and humans through sensors that are integral parts of the robots, which limits the usability of the sensors, human-robot interaction, and interchangeability. A wearable sensor…

机器人学 · 计算机科学 2022-01-07 Mohsen Jafarzadeh , Stephen Brooks , Shimeng Yu , Balakrishnan Prabhakaran , Yonas Tadesse