1 citations · 1 across the 5 of their papers we have counts for
5 papers
Automated Curriculum Design for High-dimensional Human Motor Learning
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Designing effective practice schedules for high-dimensional motor learning tasks remains a challenge, especially when skill states are unobservable and task performance may not ref…
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava
We develop a physics-informed learning framework for energy-shaping control of port-Hamiltonian (pH) systems from trajectory data. The proposed approach co-learns a pH system model…
Skill-informed Data-driven Haptic Nudges for High-dimensional Human Motor Learning
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
In this work, we propose a data-driven framework to design optimal haptic nudge feedback leveraging the learner's estimated skill to address the challenge of learning a novel motor…
Human Motor Learning Dynamics in High-dimensional Tasks
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Conventional approaches to enhancing movement coordination, such as providing instructions and visual feedback, are often inadequate in complex motor tasks with multiple degrees of…
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces
Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan +1
Designing effective rehabilitation strategies for upper extremities, particularly hands and fingers, warrants the need for a computational model of human motor learning. The presen…