Anahita Mohseni-Kabir

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 15

Top Topics

Optimal Planning

Multiple Independent

Motion Trajectories

Infinite Horizon

Top Venues

AAAI Fall Symposia

Publications

Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
Waiting Tables as a Robot Planning Problem. CoRR (2021)
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6 (3) (2021)
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR (2021)
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS (2020)
Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi
Model-Based Adaptation for Robotics Software. IEEE Softw. 36 (2) (2019)
Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich
Simultaneous learning of hierarchy and primitives for complex robot tasks. Auton. Robots 43 (4) (2019)
Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. CoRR (2019)
Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. ICRA (2019)
Anahita Mohseni-Kabir, Manuela M. Veloso
Robot Task Interruption by Learning to Switch Among Multiple Models. IJCAI (2018)
Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich
SLHAP: Simultaneous Learning of Hierarchy and Primitives. HRI (Companion) (2017)
Anahita Mohseni-Kabir, Sonia Chernova, Charles Rich
Identifying Reusable Primitives in Narrated Demonstrations. HRI (2016)
Anahita Mohseni-Kabir, Victoria Wu, Sonia Chernova, Charles Rich
What's in a primitive? Identifying reusable motion trajectories in narrated demonstrations. RO-MAN (2016)
Adrian Boteanu, Aaron St. Clair, Anahita Mohseni-Kabir, Carl Saldanha, Sonia Chernova
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution. Big Data 4 (4) (2016)
Adrian Boteanu, David Kent, Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova
Towards Robot Adaptability in New Situations. AAAI Fall Symposia (2015)
Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova, Candace L. Sidner, Daniel Miller
Interactive Hierarchical Task Learning from a Single Demonstration. HRI (2015)
Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova
Learning partial ordering constraints from a single demonstration. HRI (2014)
Anahita Mohseni-Kabir, Sonia Chernova, Charles Rich
Collaborative Learning of Hierarchical Task Networks from Demonstration and Instruction. AAAI Fall Symposia (2014)