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Sonia Chernova

Biographic Data

ID5128111
NAMESonia Chernova
GIVEN NAMESSonia
FAMILY NAMEChernova
SIGNATURECHERNOVA S
AFFILIATIONSWorcester Polytechnic Institute
ORCID0000-0001-6320-0825
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Uhtp

    Open Access•Kartik Ramachandruni, Cassandra Kent et al.•ARTICLE•ACM Transactions on Human-Robot…•2024

    Collaborative human-robot task execution approaches require mutual adaptation, allowing both the human and robot partners to take active roles in action selection and role assignment to achieve a single shared goal. Prior works have utilized a leader-follower paradigm in which either agent must follow the actions specified by the other agent. We introduce the User-aware Hierarchical Task Planning (UHTP) framework, a communication-free human-robot…

  • Special Issue on Robot Learning from Demonstration

    Open Access•Sonia Chernova, Andrea L Thomaz•ARTICLE•International Journal of Social…•2012

  • A Practical Comparison of Three Robot Learning from Demonstration Algorithm

    Open Access•Halit Bener Suay, Russell Toris et al.•ARTICLE•International Journal of Social…•2012

  • Confidence-Based Multi-Robot Learning from Demonstration

    Open Access•Sonia Chernova, Manuela Veloso•ARTICLE•International Journal of Social…•2010

No prominent works on this page.

  • Confidence-Based Multi-Robot Learning from Demonstration

    Open Access•Sonia Chernova, Manuela Veloso•ARTICLE•International Journal of Social…•2010

  • Special Issue on Robot Learning from Demonstration

    Open Access•Sonia Chernova, Andrea L Thomaz•ARTICLE•International Journal of Social…•2012

  • A Practical Comparison of Three Robot Learning from Demonstration Algorithm

    Open Access•Halit Bener Suay, Russell Toris et al.•ARTICLE•International Journal of Social…•2012

  • Uhtp

    Open Access•Kartik Ramachandruni, Cassandra Kent et al.•ARTICLE•ACM Transactions on Human-Robot…•2024

    Collaborative human-robot task execution approaches require mutual adaptation, allowing both the human and robot partners to take active roles in action selection and role assignment to achieve a single shared goal. Prior works have utilized a leader-follower paradigm in which either agent must follow the actions specified by the other agent. We introduce the User-aware Hierarchical Task Planning (UHTP) framework, a communication-free human-robot…

Artificial Intelligence (4 works) · Computer Science (4 works) · Human–computer interaction (4 works) · Robot (4 works) · Robot Manipulation and Learning (4 works) · Reinforcement Learning in Robotics (3 works) · Robotics (3 works) · Engineering (2 works) · Humanoid robot (2 works) · Action selection (1 works)

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