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2020 – today
- 2024
[j17]Thomas Hellström
, Suna Bensch:
Apocalypse now: no need for artificial general intelligence. AI Soc. 39(2): 811-813 (2024)- [i5]Victor Kaptelinin, Suna Bensch, Thomas Hellström, Patrik Björnfot, Shikhar Kumar:
The experience of humans' and robots' mutual (im)politeness in enacted service scenarios: An empirical study. CoRR abs/2406.17641 (2024) - 2023
- [j16]Thomas Hellström:
AI and its consequences for the written word. Frontiers Artif. Intell. 6 (2023) - [j15]Michele Persiani, Thomas Hellström:
Policy regularization for legible behavior. Neural Comput. Appl. 35(23): 16781-16790 (2023) - [c28]Filip Edström, Thomas Hellström, Xavier de Luna:
Robot Causal Discovery Aided by Human Interaction. RO-MAN 2023: 1731-1736 - 2022
- [c27]Michele Persiani, Thomas Hellström:
The Mirror Agent Model: A Bayesian Architecture for Interpretable Agent Behavior. EXTRAAMAS@AAMAS 2022: 111-123 - [c26]Michele Persiani, Thomas Hellström:
Informative Communication of Robot Plans. PAAMS 2022: 332-344 - [i4]Michele Persiani, Thomas Hellström:
Policy Regularization for Legible Behavior. CoRR abs/2203.04303 (2022) - 2021
- [j14]Ahmad Ostovar, Suna Bensch, Thomas Hellström:
Natural language guided object retrieval in images. Acta Informatica 58(4): 243-261 (2021) - [j13]Finn Rietz, Alexander Sutherland, Suna Bensch, Stefan Wermter, Thomas Hellström:
WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments. Frontiers Robotics AI 8: 668057 (2021) - [j12]Avinash Kumar Singh, Neha Baranwal, Kai-Florian Richter, Thomas Hellström, Suna Bensch:
Verbal explanations by collaborating robot teams. Paladyn J. Behav. Robotics 12(1): 47-57 (2021) - [j11]Thomas Hellström:
The relevance of causation in robotics: A review, categorization, and analysis. Paladyn J. Behav. Robotics 12(1): 238-255 (2021) - [c25]Michele Persiani, Thomas Hellström:
Inference of the Intentions of Unknown Agents in a Theory of Mind Setting. PAAMS 2021: 188-200 - [i3]Maitreyee Tewari, Thomas Hellström, Suna Bensch:
Conversational Norms for Human-Robot Dialogues. CoRR abs/2103.01706 (2021) - [i2]Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter:
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). CoRR abs/2103.05815 (2021) - 2020
- [j10]Boaz Arad, Jos Balendonck, Ruud Barth, Ohad Ben-Shahar, Yael Edan, Thomas Hellström, Jochen Hemming, Polina Kurtser, Ola Ringdahl, Toon Tielen, Bart van Tuijl:
Development of a sweet pepper harvesting robot. J. Field Robotics 37(6): 1027-1039 (2020) - [c24]Thomas Hellström, Virginia Dignum, Suna Bensch:
Bias in machine learning - what is it good for? NeHuAI@ECAI 2020: 3-10 - [c23]Alexander Sutherland, Suna Bensch, Thomas Hellström, Sven Magg, Stefan Wermter:
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE). ICANN (1) 2020: 660-671 - [c22]Avinash Kumar Singh, Neha Baranwal, Kai-Florian Richter, Thomas Hellström, Suna Bensch:
Understandable Collaborating Robot Teams. PAAMS (Workshops) 2020: 168-178 - [c21]Michele Persiani, Thomas Hellström:
Intent Recognition from Speech and Plan Recognition. PAAMS 2020: 212-223 - [c20]Avinash Kumar Singh, Neha Baranwal, Kai-Florian Richter, Thomas Hellström, Suna Bensch:
Understandable Teams of Pepper Robots. PAAMS 2020: 439-442 - [c19]Adna Bliek, Suna Bensch, Thomas Hellström:
How Can a Robot Trigger Human Backchanneling? RO-MAN 2020: 96-103 - [i1]Thomas Hellström, Virginia Dignum, Suna Bensch:
Bias in Machine Learning What is it Good (and Bad) for? CoRR abs/2004.00686 (2020)
2010 – 2019
- 2019
- [c18]Neha Baranwal, Avinash Kumar Singh, Thomas Hellström:
Fusion of Gesture and Speech for Increased Accuracy in Human Robot Interaction. MMAR 2019: 139-144 - [c17]Michele Persiani, Thomas Hellström:
Unsupervised Inference of Object Affordance from Text Corpora. NODALIDA 2019: 115-120 - 2018
- [j9]Thomas Hellström, Suna Bensch:
Understandable robots. Paladyn J. Behav. Robotics 9(1): 110-123 (2018) - [j8]Ahmad Ostovar, Ola Ringdahl, Thomas Hellström:
Adaptive Image Thresholding of Yellow Peppers for a Harvesting Robot. Robotics 7(1): 11 (2018) - 2017
- [c16]Victor Kaptelinin, Andrey Kiselev, Amy Loutfi, Thomas Hellström:
Robots in Contexts: Human-Robot Interaction as Physically and Socially Embedded. ECCE 2017: 203-204 - [c15]Suna Bensch, Aleksandar Jevtic, Thomas Hellström:
On Interaction Quality in Human-Robot Interaction. ICAART (1) 2017: 182-189 - 2016
- [j7]Benjamin Fonooni, Thomas Hellström, Lars-Erik Janlert:
Priming as a Means to Reduce Ambiguity in Learning from Demonstration. Int. J. Soc. Robotics 8(1): 5-19 (2016) - [c14]Ahmad Ostovar, Thomas Hellström, Ola Ringdahl:
Human Detection Based on Infrared Images in Forestry Environments. ICIAR 2016: 175-182 - 2015
- [j6]Mostafa Pordel, Thomas Hellström:
Semi-Automatic Image Labelling Using Depth Information. Comput. 4(2): 142-154 (2015) - [j5]Benjamin Fonooni, Aleksandar Jevtic, Thomas Hellström, Lars-Erik Janlert:
Applying Ant Colony Optimization algorithms for high-level behavior learning and reproduction from demonstrations. Robotics Auton. Syst. 65: 24-39 (2015) - [c13]Benjamin Fonooni, Thomas Hellström:
Applying a priming mechanism for intention recognition in shared control. CogSIMA 2015: 35-41 - [c12]Suna Bensch, Frank Drewes, Thomas Hellström:
Grammatical inference of graph transformation rules. NCMA 2015: 73-90 - [c11]Benjamin Fonooni, Thomas Hellström:
On the similarities between control based and behavior based visual servoing. SAC 2015: 320-326 - 2014
- [c10]Suna Bensch, Thomas Hellström:
Towards proactive robot behavior based on incremental language analysis. MMRWHRI@ICMI 2014: 21-22 - 2013
- [j4]Thomas Hellström, Ola Ringdahl:
A software framework for agricultural and forestry robots. Ind. Robot 40(1): 20-26 (2013) - [j3]Ola Ringdahl, Peter Hohnloser, Thomas Hellström, Johan Holmgren, Ola Lindroos:
Enhanced Algorithms for Estimating Tree Trunk Diameter Using 2D Laser Scanner. Remote. Sens. 5(10): 4839-4856 (2013) - [c9]Benjamin Fonooni, Thomas Hellström, Lars-Erik Janlert:
Towards goal based architecture design for learning high-level representation of behaviors from demonstration. CogSIMA 2013: 67-74 - [c8]Alex Kozlov, Jeremi Gancet, Pierre Letier, Guido Schillaci, Verena V. Hafner, Benjamin Fonooni, Yashodhan Nevatia, Thomas Hellström:
Development of a search and rescue field robotic assistant. SSRR 2013: 1-5 - 2012
- [c7]Benjamin Fonooni, Thomas Hellström, Lars-Erik Janlert:
Learning High-level Behaviors from Demonstration through Semantic Networks. ICAART (1) 2012: 419-426 - [c6]Mostafa Pordel, Thomas Hellström, Ahmad Ostovar:
Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots. ICINCO (2) 2012: 314-320 - 2010
- [j2]Erik Alexander Billing, Thomas Hellström:
A formalism for learning from demonstration. Paladyn J. Behav. Robotics 1(1): 1-13 (2010) - [c5]Erik Alexander Billing, Thomas Hellström, Lars-Erik Janlert:
Model-free Learning from Demonstration. ICAART (2) 2010: 62-71 - [c4]Erik Alexander Billing, Thomas Hellström, Lars-Erik Janlert:
Predictive Learning from Demonstration. ICAART (Revised Selected Papers) 2010: 186-200 - [c3]Erik Alexander Billing, Thomas Hellström, Lars-Erik Janlert:
Behavior recognition for Learning from Demonstration. ICRA 2010: 866-872
2000 – 2009
- 2005
- [c2]Thomas Hellström, Thomas Johansson, Ola Ringdahl:
Development of an Autonomous Forest Machine for Path Tracking. FSR 2005: 603-614 - 2001
- [c1]Thomas Hellström:
Optimizing the Sharpe Ratio for a Rank Based Trading System. EPIA 2001: 130-141 - 2000
- [j1]Thomas Hellström, Kenneth Holmström:
The relevance of trends for predictions of stock returns. Intell. Syst. Account. Finance Manag. 9(1): 23-34 (2000)
Coauthor Index
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last updated on 2024-07-23 21:03 CEST by the dblp team
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