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In recent years, researchers and manufacturers have started to investigate ways to enable autonomous vehicles (AVs) to interact with nearby pedestrians in compensation for the absence of human drivers. The majority of these efforts focuses…

人机交互 · 计算机科学 2024-03-11 Yiyuan Wang , Luke Hespanhol , Martin Tomitsch

As knowledge graph has the potential to bridge the gap between commonsense knowledge and reasoning over actionable capabilities of mobile robotic platforms, incorporating knowledge graph into robotic system attracted increasing attention in…

人机交互 · 计算机科学 2023-05-01 Chao Wang , Joerg Deigmoeller

The intelligent behavior of robots does not emerge solely from control systems, but from the tight coupling between body and brain, a principle known as embodied intelligence. Designing soft robots that leverage this interaction remains a…

机器人学 · 计算机科学 2026-03-23 Jianqiang Wang , Shuaiqun Pan , Alvaro Serra-Gomez , Xiaohan Wei , Yue Xie

Harnessing human movements to command an Unmanned Aerial Vehicle (UAV) holds the potential to revolutionize their deployment, rendering it more intuitive and user-centric. In this research, we introduce a novel methodology adept at…

机器人学 · 计算机科学 2024-08-20 Akash Chaudhary , Tiago Nascimento , Martin Saska

This paper presents a novel framework for accessible and pedagogically-grounded robot explainability, designed to support human-robot interaction (HRI) with users who have diverse cognitive, communicative, or learning needs. We combine…

A limitation for collaborative robots (cobots) is their lack of ability to adapt to human partners, who typically exhibit an immense diversity of behaviors. We present an autonomous framework as a cobot's real-time decision-making mechanism…

机器人学 · 计算机科学 2023-03-24 O. Can Görür , Benjamin Rosman , Fikret Sivrikaya , Sahin Albayrak

Industrial robot applications require increasingly flexible systems that non-expert users can easily adapt for varying tasks and environments. However, different adaptations benefit from different interaction modalities. We present an…

In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO. The approach combines ideas from imitation learning, task decomposition, and novel task sequencing to generalize from…

Human acceptance of social robots is greatly effected by empathy and perceived understanding. This necessitates accurate and flexible responses to various input data from the user. While systems such as this can become increasingly complex…

机器人学 · 计算机科学 2024-12-31 Jordan Sinclair , Christopher Reardon

Soft robots have proven to outperform traditional robots in applications related to propagation in geometrically constrained environments. Designing these robots and their controllers is an intricate task, since their building materials…

神经与进化计算 · 计算机科学 2025-06-05 Hugo Alcaraz-Herrera , Michail-Antisthenis Tsompanas , Igor Balaz , Andrew Adamatzky

This paper develops a novel framework called Providers-Clients-Robots (PCR), applicable to socially assistive robots that support research on shared understanding in human-robot interactions. Providers, Clients, and Robots share an…

机器人学 · 计算机科学 2022-06-23 Tribhi Kathuria , Yifan Xu , Theodor Chakhachiro , X. Jessie Yang , Maani Ghaffari

The revolutionary potential of automatic code generation tools based on Model-Driven Engineering (MDE) frameworks has yet to be realized. Beyond their ability to help software professionals write more accurate, reusable code, they could…

软件工程 · 计算机科学 2021-12-22 Ilham Qasse , Shailesh Mishra , Mohammad Hamdaqa

This paper proposes a common interface for real-time low-level motion planning of collaborative robotic arms, aimed at enabling broader applicability and improved portability across heterogeneous hardware platforms. In previous work, we…

机器人学 · 计算机科学 2026-04-13 Yue Feng , Weicheng Huang , I-Ming Chen

Tactile sensing plays an important role in robotic perception and manipulation. To overcome the real-world limitations of data collection, simulating tactile response in virtual environment comes as a desire direction of robotic research.…

机器人学 · 计算机科学 2020-11-24 Yikai Wang , Wenbing Huang , Bin Fang , Fuchun Sun

This paper presents the design and development of an innovative interactive robotic system to enhance audience engagement using character-like personas. Built upon the foundations of persona-driven dialog agents, this work extends the…

Industrial robots become increasingly prevalent, resulting in a growing need for intuitive, comforting human-robot collaboration. We present a user-aware robotic system that adapts to operator behavior in real time while non-intrusively…

机器人学 · 计算机科学 2024-09-17 Damian Hostettler , Simon Mayer , Jan Liam Albert , Kay Erik Jenss , Christian Hildebrand

Purpose - Most industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. This is a tedious and time-consuming task that requires some technical expertise, and hence new approaches…

机器人学 · 计算机科学 2013-09-10 Pedro Neto , Norberto Pires , Paulo Moreira

Industrial robots are increasingly deployed in applications requiring an end effector tool to closely track a specified path, such as in spraying and welding. Performance and productivity present possibly conflicting objectives: tracking…

机器人学 · 计算机科学 2023-01-09 Honglu He , Chen-lung Lu , Yunshi Wen , Glenn Saunders , Pinghai Yang , Jeffrey Schoonover , Agung Julius , John T. Wen

Social robots, also known as service or assistant robots, have been developed to improve the quality of human life in recent years. The design of socially capable and intelligent robots can vary, depending on the target user groups. In this…

机器人学 · 计算机科学 2018-08-02 Xiaodong Wu , Lyn Bartram

Service robots need to show appropriate social behaviour in order to be deployed in social environments such as healthcare, education, retail, etc. Some of the main capabilities that robots should have are navigation and conversational…

机器人学 · 计算机科学 2018-11-15 Chandrakant Bothe , Fernando Garcia , Arturo Cruz Maya , Amit Kumar Pandey , Stefan Wermter