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Tyler Toner
Tyler Toner
Mechanical Engineering PhD Candidate, University of Michigan
Bestätigte E-Mail-Adresse bei umich.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Probabilistically Safe Mobile Manipulation in an Unmodeled Environment with Automated Feedback Tuning
T Toner, DM Tilbury, K Barton
2022 American Control Conference (ACC), 1214-1221, 2022
52022
Sequential Manipulation of Deformable Linear Object Networks with Endpoint Pose Measurements using Adaptive Model Predictive Control
T Toner, V Molazadeh, M Saez, DM Tilbury, K Barton
arXiv preprint arXiv:2402.10372, 2024
32024
Using Economic Iterative Learning Control for Time-Optimal Control of a Redundant Manipulator
M van de Vosse, TW Toner, MJ Wu, DM Tilbury, KL Barton
2023 IEEE 19th International Conference on Automation Science and …, 2023
32023
Opportunities and challenges in applying reinforcement learning to robotic manipulation: An industrial case study
T Toner, M Saez, DM Tilbury, K Barton
Manufacturing Letters 35, 1019-1030, 2023
32023
Multi-sensor aided deep pose tracking
H Lee, T Toner, D Tilbury, K Barton
IFAC-PapersOnLine 55 (37), 326-332, 2022
22022
PRF: A Program Reuse Framework for Automated Programming by Learning from Existing Robot Programs
T Toner, DM Tilbury, K Barton
Robotics 13 (8), 118, 2024
12024
GraspMixer: Hybrid of Contact Surface Sampling and Grasp Feature Mixing for Grasp Synthesis
H Lee, T Toner, DM Tilbury, K Barton
IEEE Transactions on Automation Science and Engineering, 2025
2025
Learning-Based Robot Control in Data-Limited Environments
T Toner
2024
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