Anahita Mohseni-Kabir

According to our database, Anahita Mohseni-Kabir authored at least 16 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time.

Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev

IEEE Robotics Autom. Lett., 2021

Waiting Tables as a Robot Planning Problem.

Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev

CoRR, 2021

Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time.

Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev

CoRR, 2021

2020

Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time.

Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev

Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019

Model-Based Adaptation for Robotics Software.

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

IEEE Softw., 2019

Simultaneous learning of hierarchy and primitives for complex robot tasks.

Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich

Auton. Robots, 2019

Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals.

Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Robot Task Interruption by Learning to Switch Among Multiple Models.

Anahita Mohseni-Kabir, Manuela M. Veloso

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

SLHAP: Simultaneous Learning of Hierarchy and Primitives.

Anahita Mohseni-Kabir, Changshuo Li, Victoria Wu, Daniel Miller, Benjamin Hylak, Sonia Chernova, Dmitry Berenson, Candace L. Sidner, Charles Rich

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2016

Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution.

Adrian Boteanu, Aaron St. Clair, Anahita Mohseni-Kabir, Carl Saldanha, Sonia Chernova

Big Data, 2016

What's in a primitive? Identifying reusable motion trajectories in narrated demonstrations.

Anahita Mohseni-Kabir, Victoria Wu, Sonia Chernova, Charles Rich

Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Identifying Reusable Primitives in Narrated Demonstrations.

Anahita Mohseni-Kabir, Sonia Chernova, Charles Rich

Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

2015

Interactive Hierarchical Task Learning from a Single Demonstration.

Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova, Candace L. Sidner, Daniel Miller

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

Towards Robot Adaptability in New Situations.

Adrian Boteanu, David Kent, Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014

Learning partial ordering constraints from a single demonstration.

Anahita Mohseni-Kabir, Charles Rich, Sonia Chernova

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

Collaborative Learning of Hierarchical Task Networks from Demonstration and Instruction.

Anahita Mohseni-Kabir, Sonia Chernova, Charles Rich

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014