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In this paper, we present Misaka, a visualized swarm testbed for smart grid algorithm evaluation, also an extendable open-source open-hardware platform for developing tabletop tangible swarm interfaces. The platform consists of a collection…

Robotics · Computer Science 2024-04-29 Tingliang Zhang , Haiwang Zhong , Zhenfei Tan , Xinfei Yan

Service robots for personal use in the home and the workplace require end-user development solutions for swiftly scripting robot tasks as the need arises. Many existing solutions preserve ease, efficiency, and convenience through simple…

Robotics · Computer Science 2023-02-08 David Porfirio , Laura Stegner , Maya Cakmak , Allison Sauppé , Aws Albarghouthi , Bilge Mutlu

This paper introduces ByteWrist, a novel highly-flexible and anthropomorphic parallel wrist for robotic manipulation. ByteWrist addresses the critical limitations of existing serial and parallel wrists in narrow-space operations through a…

Robotics · Computer Science 2025-09-25 Jiawen Tian , Liqun Huang , Zhongren Cui , Jingchao Qiao , Jiafeng Xu , Xiao Ma , Zeyu Ren

Complexity, cost, and power requirements for the actuation of individual robots can play a large factor in limiting the size of robotic swarms. Here we present PCBot, a minimalist robot that can precisely move on an orbital shake table…

Robotics · Computer Science 2024-04-09 Jingxian Wang , Michael Rubenstein

This paper introduces MRTA-Sim, a Python/ROS2/Gazebo simulator for testing approaches to Multi-Robot Task Allocation (MRTA) problems on simulated robots in complex, indoor environments. Grid-based approaches to MRTA problems can be too…

The advantages of evolutionary algorithms with respect to traditional methods have been greatly discussed in the literature. While particle swarm optimizers share such advantages, they outperform evolutionary algorithms in that they require…

Neural and Evolutionary Computing · Computer Science 2021-01-28 Johann Sienz , Mauro S. Innocente

Autonomous nano-drones, powered by vision-based tiny machine learning (TinyML) models, are a novel technology gaining momentum thanks to their broad applicability and pushing scientific advancement on resource-limited embedded systems.…

Robotics · Computer Science 2026-04-28 Elia Cereda , Alessandro Giusti , Daniele Palossi

Bulk bitwise operations, i.e., bitwise operations on large bit vectors, are prevalent in a wide range of important application domains, including databases, graph processing, genome analysis, cryptography, and hyper-dimensional computing.…

In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collaboration between heterogeneous devices outside the traditional…

Networking and Internet Architecture · Computer Science 2021-03-11 Ana Juan Ferrer , Soeren Becker , Florian Schmidt , Lauritz Thamsen , Odej Kao

Robotics is undergoing a significant transformation powered by advances in high-level control techniques based on machine learning, giving rise to the field of robot learning. Recent progress in robot learning has been accelerated by the…

WebAssembly (abbreviated as Wasm) was initially introduced for the Web but quickly extended its reach into various domains beyond the Web. To create Wasm applications, developers can compile high-level programming languages into Wasm…

Software Engineering · Computer Science 2024-10-23 Yixuan Zhang , Mugeng Liu , Haoyu Wang , Yun Ma , Gang Huang , Xuanzhe Liu

We present TinyLlama, a compact 1.1B language model pretrained on around 1 trillion tokens for approximately 3 epochs. Building on the architecture and tokenizer of Llama 2, TinyLlama leverages various advances contributed by the…

Computation and Language · Computer Science 2024-06-05 Peiyuan Zhang , Guangtao Zeng , Tianduo Wang , Wei Lu

It is hard to imagine with the progress in robotics that current approaches are lacking somewhere, yet they will not be applicable to the majority of robots in the near future. We are on the verge of two new transitions that will transform…

Robotics · Computer Science 2022-06-22 Stoyan K. Smoukov

We propose a decentralized control algorithm for a minimalistic robotic swarm with limited capabilities such that the desired global behavior emerges. We consider the problem of searching for and encapsulating various targets present in the…

Robotics · Computer Science 2023-01-16 Himani Sinhmar , Hadas Kress-Gazit

This paper presents a novel method for efficiently solving a trajectory planning problem for swarm robotics in cluttered environments. Recent research has demonstrated high success rates in real-time local trajectory planning for swarm…

Robotics · Computer Science 2023-11-08 Pengda Mao , Rao Fu , Quan Quan

Fuzz Testing is a largely automated testing technique that provides random and unexpected input to a program in attempt to trigger failure conditions. Much of the research conducted thus far into Fuzz Testing has focused on developing…

Software Engineering · Computer Science 2019-07-30 Matthew Kelly , Christoph Treude , Alex Murray

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are no good dynamic simulation tools to predict the motion or performance of a microrobot as it moves against a substrate. At…

Robotics · Computer Science 2019-07-31 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

Engineering swarms of cyber-physical systems (CPSs) is a complex process. We present the CPSwarm workbench that creates an automated design workflow to ease this process. This formalized workflow guides the user from modeling, to code…

Multiagent Systems · Computer Science 2021-09-10 Micha Sende , Melanie Schranz , Gianluca Prato , Etienne Brosse , Omar Morando , Martina Umlauft

Swarm foraging is a common test case application for multi-robot systems. In this paper we present a novel algorithm for controlling swarm robots with limited communication range and storage capacity to efficiently search for and retrieve…

Robotics · Computer Science 2019-06-18 Simon O. Obute , Mehmet R. Dogar , Jordan H. Boyle

To make microtask programming more efficient and reduce the potential for conflicts between contributors, I developed a new behavior-driven approach to microtasking programming. In our approach, each microtask asks developers to identify a…

Software Engineering · Computer Science 2020-09-03 Emad Aghayi