Search Results - "Interactive Robot Learning"
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OrthographicNet: A Deep Transfer Learning Approach for 3-D Object Recognition in Open-Ended Domains
ISSN: 1083-4435, 1941-014XPublished: New York IEEE 01.12.2021Published in IEEE/ASME transactions on mechatronics (01.12.2021)“…Nowadays, service robots are appearing more and more in our daily life. For this type of robot, open-ended object category learning and recognition is…”
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Journal Article -
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The power of combined modalities in interactive robot learning
ISSN: 2296-9144, 2296-9144Published: Switzerland Frontiers Media S.A 17.07.2025Published in Frontiers in robotics and AI (17.07.2025)“…With the continuous advancement of Artificial intelligence (AI), robots as embodied intelligent systems are increasingly becoming more present in daily life…”
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Journal Article -
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Effects of Robot Competency and Motion Legibility on Human Correction Feedback
Published: IEEE 04.03.2025Published in 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (04.03.2025)“…As robot deployments become more commonplace, people are likely to take on the role of supervising robots (i.e., correcting their mistakes) rather than…”
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Conference Proceeding -
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Adapting Robot Actions to Human Intentions in Dynamic Shared Environments
Published: IEEE 04.03.2025Published in 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (04.03.2025)“…In my work, I study how robots can infer and adapt to human intentions in dynamic environments. My prior work focuses on three key methods for adapting robot…”
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Conference Proceeding -
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Modeling Variation in Human Feedback with User Inputs: An Exploratory Methodology
Published: ACM 11.03.2024Published in 2024 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (11.03.2024)“…To expedite the development process of interactive reinforcement learning (IntRL) algorithms, prior work often uses perfect oracles as simulated human teachers…”
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Conference Proceeding -
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Human-Interactive Robot Learning (HIRL)
Published: IEEE 07.03.2022Published in 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (07.03.2022)“…With robots poised to enter our daily environments, we conjecture that they will not only need to work for people, but also learn from them. An active area of…”
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Conference Proceeding -
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Curiosity-driven acquisition of sensorimotor concepts using memory-based active learning
ISBN: 9781424426782, 1424426782Published: IEEE 01.02.2009Published in 2008 IEEE International Conference on Robotics and Biomimetics (01.02.2009)“…Operating in real-world environments, a robot will need to continuously learn from its experience to update and extend its knowledge. The paper focuses on the…”
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Conference Proceeding

