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Enhancing Robot Perception with Real-World HRI
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Robotik, perception och lärande, RPL.ORCID-id: 0000-0002-3432-6151
2024 (engelsk)Inngår i: HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, Association for Computing Machinery (ACM) , 2024, s. 160-162Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Robot perception often fails in uncontrolled environments due to unfamiliar object classes, different domains, or hardware issues. This poses significant challenges for human-robot interaction (HRI) outside of a lab or user study settings. My work focuses on two separate approaches: improving robot perception models and developing systems where users can directly correct robot errors. My research strives to improve HRI in real-world scenarios by reducing vision errors and empowering users to address them.

sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM) , 2024. s. 160-162
Emneord [en]
failures, multimodality, perception, real world interaction, robotics
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-344810DOI: 10.1145/3610978.3638363Scopus ID: 2-s2.0-85188112646OAI: oai:DiVA.org:kth-344810DiVA, id: diva2:1847616
Konferanse
19th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, United States of America, Mar 11 2024 - Mar 15 2024
Merknad

QC 20240409

 Part of ISBN 9798400703232

Tilgjengelig fra: 2024-03-28 Laget: 2024-03-28 Sist oppdatert: 2024-04-09bibliografisk kontrollert

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Wozniak, Maciej K.

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