Trevor Ablett

According to our database, Trevor Ablett authored at least 11 papers between 2018 and 2025.

Collaborative distances:

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

2025

Multimodal and Force-Matched Imitation Learning With a See-Through Visuotactile Sensor.

Trevor Ablett, Oliver Limoyo, Adam Sigal, Affan Jilani, Jonathan Kelly, Kaleem Siddiqi, Francois Robert Hogan, Gregory Dudek

IEEE Trans. Robotics, 2025

2024

Value-Penalized Auxiliary Control from Examples for Learning without Rewards or Demonstrations.

Trevor Ablett, Bryan Chan, Jayce Haoran Wang, Jonathan Kelly

CoRR, 2024

Working Backwards: Learning to Place by Picking.

Oliver Limoyo, Abhisek Konar, Trevor Ablett, Jonathan Kelly, Francois Robert Hogan, Gregory Dudek

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Learning From Guided Play: Improving Exploration for Adversarial Imitation Learning With Simple Auxiliary Tasks.

Trevor Ablett, Bryan Chan, Jonathan Kelly

IEEE Robotics Autom. Lett., March, 2023

Push it to the Demonstrated Limit: Multimodal Visuotactile Imitation Learning with Force Matching.

Trevor Ablett, Oliver Limoyo, Adam Sigal, Affan Jilani, Jonathan Kelly, Kaleem Siddiqi, Francois Robert Hogan, Gregory Dudek

CoRR, 2023

2022

Learning Sequential Latent Variable Models from Multimodal Time Series Data.

Oliver Limoyo, Trevor Ablett, Jonathan Kelly

Proceedings of the Intelligent Autonomous Systems 17, 2022

2021

Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning.

Trevor Ablett, Bryan Chan, Jonathan Kelly

CoRR, 2021

Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations.

Trevor Ablett, Yifan Zhai, Jonathan Kelly

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning.

Trevor Ablett, Filip Maric, Jonathan Kelly

CoRR, 2020

2019

Fast Manipulability Maximization Using Continuous-Time Trajectory optimization.

Filip Maric, Oliver Limoyo, Luka Petrovic, Trevor Ablett, Ivan Petrovic, Jonathan Kelly

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Self-Calibration of Mobile Manipulator Kinematic and Sensor Extrinsic Parameters Through Contact-Based Interaction.

Oliver Limoyo, Trevor Ablett, Filip Maric, Luke Volpatti, Jonathan Kelly

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018