Results 11 to 20 of about 51,289 (25)

Pattern Formation for Asynchronous Robots without Agreement in Chirality [PDF]

open access: yesarXiv, 2014
This paper presents a deterministic algorithm for forming a given asymmetric pattern in finite time by a set of autonomous, homogeneous, oblivious mobile robots under the CORDA model. The robots are represented as points on the 2D plane. There is no explicit communication between the robots.
arxiv  

Formation of General Position by Asynchronous Mobile Robots [PDF]

open access: yesarXiv, 2014
The traditional distributed model of autonomous, homogeneous, mobile point robots usually assumes that the robots do not create any visual obstruction for the other robots, i.e., the robots are see through. In this paper, we consider a slightly more realistic model, by incorporating the notion of obstructed visibility (i.e., robots are not see through)
arxiv  

Utilising Explanations to Mitigate Robot Conversational Failures [PDF]

open access: yesACM International Conference on Human-Robot Interaction (Workshops) 2023, 2023
This paper presents an overview of robot failure detection work from HRI and adjacent fields using failures as an opportunity to examine robot explanation behaviours. As humanoid robots remain experimental tools in the early 2020s, interactions with robots are situated overwhelmingly in controlled environments, typically studying various interactional ...
arxiv  

Artificial Intelligence and Systems Theory: Applied to Cooperative Robots [PDF]

open access: yesInternational Journal of Advanced Robotic Systems, ISSN 1729-8806, Volume 1, Number 3 September 2004, pp.141-148, 2004
This paper describes an approach to the design of a population of cooperative robots based on concepts borrowed from Systems Theory and Artificial Intelligence. The research has been developed under the SocRob project, carried out by the Intelligent Systems Laboratory at the Institute for Systems and Robotics - Instituto Superior Tecnico (ISR/IST) in ...
arxiv  

Medical robotics: where we come from, where we are and where we could go [PDF]

open access: yesThe Industrial Robot 35, 4 (2008) 289, 2008
This short note presents a viewpoint about medical robotics.
arxiv  

SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction [PDF]

open access: yesarXiv, 2020
Establishing common ground between an intelligent robot and a human requires communication of the robot's intention, behavior, and knowledge to the human to build trust and assure safety in a shared environment. This paper introduces SENSAR (Seeing Everything iN Situ with Augmented Reality), an augmented reality robotic system that enables robots to ...
arxiv  

Loosely Coupled Payload Transport System with Robot Replacement [PDF]

open access: yesAutonomous Robots and Multirobot Systems, 2019, 2019
In this work, we present an algorithm for robot replacement to increase the operational time of a multi-robot payload transport system. Our system comprises a group of nonholonomic wheeled mobile robots traversing on a known trajectory. We design a multi-robot system with loosely coupled robots that ensures the system lasts much longer than the battery
arxiv  

Robots that Take Advantage of Human Trust [PDF]

open access: yesarXiv, 2019
Humans often assume that robots are rational. We believe robots take optimal actions given their objective; hence, when we are uncertain about what the robot's objective is, we interpret the robot's actions as optimal with respect to our estimate of its objective.
arxiv  

Recent Advances in Human-Robot Collaboration Towards Joint Action [PDF]

open access: yesarXiv, 2020
Robots existed as separate entities till now, but the horizons of a symbiotic human-robot partnership are impending. Despite all the recent technical advances in terms of hardware, robots are still not endowed with desirable relational skills that ensure a social component in their existence.
arxiv  

Graph Neural Networks for Learning Robot Team Coordination [PDF]

open access: yesFederated AI for Robotics Workshop, IJCAI-ECAI/ICML/AAMAS 2018, 2018
This paper shows how Graph Neural Networks can be used for learning distributed coordination mechanisms in connected teams of robots. We capture the relational aspect of robot coordination by modeling the robot team as a graph, where each robot is a node, and edges represent communication links.
arxiv  

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