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Nathan D. Kent

2 accepted papers

2022

Improved Performance of CPG Parameter Inference for Path-following Control of Legged Robots

IROS 2022poster

The difficulty associated with the coordinated locomotion of legged robots grows quickly as the number of joints increases. Although prior approaches have addressed this problem through sampling-based planners, learning-based techniques have recently been explored as a means to handle such complexit…

Cited by 3SourceScholar
2020

Inferring Task-Space Central Pattern Generator Parameters for Closed-loop Control of Underactuated Robots

ICRA 2020poster

The complexity associated with the control of highly-articulated legged robots scales quickly as the number of joints increases. Traditional approaches to the control of these robots are often impractical for many real-time applications. This work thus presents a novel sampling-based planning approa…

Cited by 2SourceScholar