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The Behavioral and Brain Sciences
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October 8, 2005
Coordinating perceptually grounded categories through language: a case study for colour
Luc Steels, Tony Belpaeme
Plos One
|
October 1, 2015
Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction
Joachim de Greeff, Tony Belpaeme
Frontiers in Robotics and AI
|
October 15, 2021
Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions
Bahar Irfan, Mehdi Hellou, Tony Belpaeme
Frontiers in Robotics and AI
|
November 7, 2022
Editorial: Robots for learning
Wafa Johal, Tony Belpaeme, Mohamed Chetouani
Frontiers in Neurorobotics
|
August 21, 2010
Grounding Action Words in the Sensorimotor Interaction with the World: Experiments with a Simulated iCub Humanoid Robot
Davide Marocco, Angelo Cangelosi, Kerstin Fischer, et al.
Sensors (Basel, Switzerland)
|
July 11, 2023
Behavioural Models of Risk-Taking in Human-Robot Tactile Interactions
Qiaoqiao Ren, Yuanbo Hou, Dick Botteldooren, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Generating Spatial Referring Expressions in a Social Robot: Dynamic vs. Non-ambiguous
Christopher D Wallbridge, Séverin Lemaignan, Emmanuel Senft, et al.
Science Robotics
|
November 3, 2020
Children conform, adults resist: A robot group induced peer pressure on normative social conformity
Anna-Lisa Vollmer, Robin Read, Dries Trippas, et al.
Plos One
|
May 26, 2017
Robot education peers in a situated primary school study: Personalisation promotes child learning
Paul Baxter, Emily Ashurst, Robin Read, et al.
Science Robotics
|
November 3, 2020
Social robots for education: A review
Tony Belpaeme, James Kennedy, Aditi Ramachandran, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 26) with videos related to
Sort By:
Page
of 3
The Behavioral and Brain Sciences
|
October 8, 2005
Coordinating perceptually grounded categories through language: a case study for colour
Luc Steels, Tony Belpaeme
Plos One
|
October 1, 2015
Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction
Joachim de Greeff, Tony Belpaeme
Frontiers in Robotics and AI
|
October 15, 2021
Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions
Bahar Irfan, Mehdi Hellou, Tony Belpaeme
Frontiers in Robotics and AI
|
November 7, 2022
Editorial: Robots for learning
Wafa Johal, Tony Belpaeme, Mohamed Chetouani
Frontiers in Neurorobotics
|
August 21, 2010
Grounding Action Words in the Sensorimotor Interaction with the World: Experiments with a Simulated iCub Humanoid Robot
Davide Marocco, Angelo Cangelosi, Kerstin Fischer, et al.
Sensors (Basel, Switzerland)
|
July 11, 2023
Behavioural Models of Risk-Taking in Human-Robot Tactile Interactions
Qiaoqiao Ren, Yuanbo Hou, Dick Botteldooren, et al.
Frontiers in Robotics and AI
|
January 27, 2021
Generating Spatial Referring Expressions in a Social Robot: Dynamic vs. Non-ambiguous
Christopher D Wallbridge, Séverin Lemaignan, Emmanuel Senft, et al.
Science Robotics
|
November 3, 2020
Children conform, adults resist: A robot group induced peer pressure on normative social conformity
Anna-Lisa Vollmer, Robin Read, Dries Trippas, et al.
Plos One
|
May 26, 2017
Robot education peers in a situated primary school study: Personalisation promotes child learning
Paul Baxter, Emily Ashurst, Robin Read, et al.
Science Robotics
|
November 3, 2020
Social robots for education: A review
Tony Belpaeme, James Kennedy, Aditi Ramachandran, et al.
Page
of 3