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Augmenting Knowledge through Statistical, Goal-oriented Human-Robot Dialog [article]

Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, and Shiqi Zhang
2019 arXiv   pre-print
Some robots can interact with humans using natural language, and identify service requests through human-robot dialog.  ...  We have extensively evaluated our dialog system in simulation as well as with human participants through MTurk and real-robot platforms.  ...  Part of this work has taken place in the Autonomous Intelligent Robotics (AIR) group at SUNY Binghamton. AIR research is supported in part by SUNY RF, and Ford.  ... 
arXiv:1907.03390v2 fatcat:h2e5uybukvbr7ca4vdq6gci3zm

Learning and Reasoning for Robot Dialog and Navigation Tasks [article]

Keting Lu, Shiqi Zhang, Peter Stone, Xiaoping Chen
2020 arXiv   pre-print
The robots learn from trial-and-error experiences to augment their declarative knowledge base, and the augmented knowledge can be used for speeding up the learning process in potentially different tasks  ...  More interestingly, the robot was able to learn from navigation tasks to improve its dialog strategies.  ...  Specifically, our robot learns from navigation tasks, and applied the learned knowledge (through KRR) to navigation, dialog, and delivery tasks.  ... 
arXiv:2005.09833v2 fatcat:scaarybtajebbftsrt5ga5k47e

Augmented Reality for Human-Robot Collaboration [chapter]

Scott A., Mark Billinghurst, XiaoQi Chen, J. Geoffrey
2007 Human Robot Interaction  
Knowledge Base (CKB) Multimodal Communication Processor (MCP) Human-Robot Collaboration Augmented Reality Environment (HRC-ARE) Human Robot Dialog Management System (DMS) Speech  ...  Processing Gesture Processing Gaze Processing Human Robot Collaboration Knowledge Base (CKB) Multimodal Communication Processor (MCP) Human-Robot Collaboration Augmented Reality Environment  ...  September, 2007 Human-robot interaction research is diverse and covers a wide range of topics.  ... 
doi:10.5772/5187 fatcat:d7e7swkbtrgblo5yw6xtgvqfem

Interaction Awareness for Joint Environment Exploration

Thorsten Spexard, Shuyin Li, Britta Wrede, Marc Hanheide, Elin A. Topp, Helge Huttenrauch
2007 RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication  
An important goal for research on service robots is the cooperation of a human and a robot as team.  ...  The goal is to use interactively acquired environment models to implement a robot with interaction aware behaviors.  ...  (a) Dialog example (U: User, R: Robot). user to take the robot back to an known location for re−orientation) Use cases in situated spatial exploration. Fig. 2 . 2 Fig. 2.  ... 
doi:10.1109/roman.2007.4415146 dblp:conf/ro-man/SpexardLWHTH07 fatcat:6qluhz5a4jb23jaz6jafwsa3fy

Augmented Robotics Dialog System for Enhancing Human–Robot Interaction

Fernando Alonso-Martín, Aĺvaro Castro-González, Francisco Luengo, Miguel Salichs
2015 Sensors  
For instance, it can enhance the robot's pro-activeness during a human-robot dialog (the enriched information can be used to propose new topics during the dialog, while ensuring a coherent interaction)  ...  In the present paper, we apply this main idea to human-robot interaction (HRI), to how users and robots interchange information.  ...  Acknowledgments The authors gratefully acknowledge the funds provided by the Spanish MICINN(Ministry of Science and Innovation) through the project "Aplicaciones de los robots sociales", DPI2011-26980  ... 
doi:10.3390/s150715799 pmid:26151202 pmcid:PMC4541855 fatcat:75fte2wtlvartmfrr3pseq7kim

Mixed-initiative in human augmented mapping

J. Peltason, F.H.K. Siepmann, T.P. Spexard, B. Wrede, M. Hanheide, E.A. Topp
2009 2009 IEEE International Conference on Robotics and Automation  
In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the "learning by interacting" paradigm goes hand in hand with appropriate representations  ...  In this paper we discuss a mixed initiative strategy for robotic learning by interacting with a user in a joint map acquisition process.  ...  Foundation (DFG) under the contracts of the Collaborative Research Center 673 "Alignment in Communication", the Cluster of Excellence "Cognitive Interaction Techology" (CITEC), and the German Service Robotic  ... 
doi:10.1109/robot.2009.5152683 dblp:conf/icra/PeltasonSSWHT09 fatcat:prhf27y2d5dybmjmhrzhqa4w3e

Reframing HRI Education: A Dialogic Reformulation of HRI Education to Promote Diverse Thinking and Scientific Progress

Alberto Montebelli, Erik Billing, Jessica Lindblom, Giulia Messina Dahlberg
2017 Journal of Human-Robot Interaction  
Over the last few years, technological developments in semi-autonomous machines have raised awareness about the strategic importance of human-robot interaction (HRI) and its technical and social implications  ...  Our contribution presents a normative interdisciplinary dialogic framework for HRI education, denoted InDia wheel, aimed toward seamless and coherent integration of the variety of disciplines that contribute  ...  L. was supported by the Knowledge Foundation, Stockholm, under SIDUS grant agreement no. 20140220 (AIR, "Action and intention recognition in human interaction with autonomous systems").  ... 
doi:10.5898/jhri.6.2.montebelli fatcat:l5iuizww5bepdlkttu5x4bpfzq

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021 [article]

Julia Kiseleva and Ziming Li and Mohammad Aliannejadi and Shrestha Mohanty and Maartje ter Hoeve and Mikhail Burtsev and Alexey Skrynnik and Artem Zholus and Aleksandr Panov and Kavya Srinet and Arthur Szlam and Yuxuan Sun and Marc-Alexandre Côté Katja Hofmann and Ahmed Awadallah and Linar Abdrazakov and Igor Churin and Putra Manggala and Kata Naszadi and Michiel van der Meer and Taewoon Kim
2022 arXiv   pre-print
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments.  ...  The primary goal of the competition is to approach the problem of how to build interactive agents that learn to solve a task while provided with grounded natural language instructions in a collaborative  ...  Given that the main human-robot interaction is through dialog, and the robot is supposed to assist the human in multiple tasks, we envision IGLU to enable more effective task grounded dialog training between  ... 
arXiv:2205.02388v1 fatcat:lf4b67pzqbaetpryex2hdbryy4

Chatbot integration in few patterns [article]

Marcos Baez, Florian Daniel, Fabio Casati, Boualem Benatallah
2020 arXiv   pre-print
Chatbots are software agents that are able to interact with humans in natural language.  ...  So far, chatbot development has been studied considering different aspects of design, such as interaction model, application domain, goal-orientation, and dialog management 3 .  ...  Application integration connects software systems through their APIs or backend services, e.g., using software adapters and service orchestration, or through their UIs, like in robotic process automation  ... 
arXiv:2009.03101v1 fatcat:mi3wduwwdnf3hpcta4kshes4ua

Learning and Reasoning for Robot Sequential Decision Making under Uncertainty [article]

Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang
2019 arXiv   pre-print
human knowledge, and planning under uncertainty toward achieving long-term goals.  ...  In experiments, a mobile robot is tasked with estimating human intentions using their motion trajectories, declarative contextual knowledge, and human-robot interaction (dialog-based and motion-based).  ...  Acknowledgments This work has taken place in the Autonomous Intelligent Robotics (AIR) Group at SUNY Binghamton.  ... 
arXiv:1901.05322v3 fatcat:pnxjuinrojd5de5twtiurmnwjm

Reports on the 2005 AAAI Spring Symposium Series

Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro M. Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman (+11 others)
2005 The AI Magazine  
Robots as members of human teams: We considered dialog models that combine human-robot dialog with teleoperation and human-human dialog.  ...  Companion robots: Human and robot engage in joint activity where the goal might be assisted grocery shopping for the visually impaired or passing time in conversation.  ...  , for example in autonomous robot systems.  ... 
doi:10.1609/aimag.v26i2.1817 dblp:journals/aim/AndersonBBBCDDFGHLLLLMMMOPSSSY05 fatcat:rad7peybs5gi5jpzt6pkjlz5ya

Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog

Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, Raymond Mooney
2020 The Journal of Artificial Intelligence Research  
In this work, we present methods for using human-robot dialog to improve language understanding for a mobile robot agent.  ...  We use dialog clari_cation questions both to understand commands and to generate additional parsing training data.  ...  Language Grounding with Human-Robot Interaction Machine perception can be improved through human-robot interaction.  ... 
doi:10.1613/jair.1.11485 fatcat:swc62cabmfezhnb46wsdahjym4

Human-Robot Collaboration: A Literature Review and Augmented Reality Approach in Design

Scott A. Green, Mark Billinghurst, XiaoQi Chen, J. Geoffrey Chase
2008 International Journal of Advanced Robotic Systems  
This article reviews the field of human-robot interaction and augmented reality, investigates the potential avenues for creating natural human-robot collaboration through spatial dialogue utilizing AR  ...  Augmented Reality (AR), the overlaying of computer graphics onto the real worldview, can provide the necessary means for a human-robotic system to fulfill these requirements for effective collaboration  ...  When a defined dialog goal is achieved through speech recognition, the required information will be sent to the Multimodal Communication Processor (MCP).  ... 
doi:10.5772/5664 fatcat:pmkrifjifve27a2pdvz36rocwy

Towards an Indexical Model of Situated Language Comprehension for Cognitive Agents in Physical Worlds [article]

Shiwali Mohan, Aaron Mininger, John Laird
2016 arXiv   pre-print
This Indexical Model incorporates multiple information sources, including perceptions, domain knowledge, and short-term and long-term experiences during comprehension.  ...  computational model of situated language comprehension based on the Indexical Hypothesis that generates meaning representations by translating amodal linguistic symbols to modal representations of beliefs, knowledge  ...  The authors thank Edwin Olson and the APRIL lab at the University of Michigan, Ann Arbor, for the design and implementation of the robot including its perception and actuation algorithms.  ... 
arXiv:1604.02509v1 fatcat:5njqud7p2rhmvmjbpyfhzzcahq

Cognitive Tools for Humanoid Robots in Space

Donald Sofge, Dennis Perzanowski, Marjorie Skubic, Magdalena Bugajska, J. Gregory Trafton, Nicholas Cassimatis, Derek Brock, William Adams, Alan Scbultz
2004 IFAC Proceedings Volumes  
humans and robots through use of common representations and shared humanlike behaviors.  ...  The key to achieving this interaction is to provide the robot with sufficient skills for natural communication with humans so that humans can interact with the robot almost as though it were another human  ...  ACKNOWLEDGEMENTS Support for this effort was provided by the DARPA IPTO Mobile Autonomous Robot Software (DARPA MARS) Program.  ... 
doi:10.1016/s1474-6670(17)32199-7 fatcat:mmzrutoa6vaorhx2lmv2biiiky
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